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* main: googleai: refactor to better separate generated code (tmc#547) googleai: add embeddings to vertex (tmc#546) embeddings: add cybertron local embeddings googleai: move the PaLM provider into googleai (tmc#541)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,44 @@ | ||
| package cybertron | ||
|
|
||
| import ( | ||
| "context" | ||
|
|
||
| "github.com/nlpodyssey/cybertron/pkg/models/bert" | ||
| "github.com/nlpodyssey/cybertron/pkg/tasks/textencoding" | ||
| "github.com/tmc/langchaingo/embeddings" | ||
| ) | ||
|
|
||
| // Cybertron is the embedder using Cybertron to run embedding models locally. | ||
| type Cybertron struct { | ||
| encoder textencoding.Interface | ||
| Model string | ||
| ModelsDir string | ||
| PoolingStrategy bert.PoolingStrategyType | ||
| } | ||
|
|
||
| var _ embeddings.EmbedderClient = (*Cybertron)(nil) | ||
|
|
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| // NewCybertron returns a new embedding client that uses Cybertron to run embedding | ||
| // models locally (on the CPU). The embedding model will be downloaded and cached | ||
| // automatically. Use `WithModel` and `WithModelsDir` to change which model is used | ||
| // and where it is cached. | ||
| func NewCybertron(opts ...Option) (*Cybertron, error) { | ||
| return applyOptions(opts...) | ||
| } | ||
|
|
||
| // CreateEmbedding implements the `embeddings.EmbedderClient` and creates an embedding | ||
| // vector for each of the supplied texts. | ||
| func (c *Cybertron) CreateEmbedding(ctx context.Context, texts []string) ([][]float32, error) { | ||
| result := make([][]float32, 0, len(texts)) | ||
|
|
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| for _, text := range texts { | ||
| embedding, err := c.encoder.Encode(ctx, text, int(c.PoolingStrategy)) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
|
|
||
| result = append(result, embedding.Vector.Normalize2().Data().F32()) | ||
| } | ||
|
|
||
| return result, nil | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,34 @@ | ||
| package cybertron | ||
|
|
||
| import ( | ||
| "context" | ||
| "os" | ||
| "testing" | ||
|
|
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| "github.com/stretchr/testify/require" | ||
| ) | ||
|
|
||
| func TestCybertronEmbeddings(t *testing.T) { | ||
| t.Parallel() | ||
|
|
||
| _, err := os.Stat(_defaultModelsDir) | ||
| if os.IsNotExist(err) && os.Getenv("CYBERTRON_DO_DOWNLOAD") == "" { | ||
| // Cybertron downloads the embedding model and caches it in ModelsDir. Doing this as | ||
| // part of the tests would be costly in terms of time and bandwidth and likely make | ||
| // the test flaky. | ||
| t.Skipf("ModelsDir %q doesn't exist", _defaultModelsDir) | ||
| } | ||
|
|
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| emb, err := NewCybertron( | ||
| WithModelsDir(_defaultModelsDir), | ||
| WithModel(_defaultModel), | ||
| WithPoolingStrategy(_defaultPoolingStrategy), | ||
| ) | ||
| require.NoError(t, err) | ||
|
|
||
| res, err := emb.CreateEmbedding(context.Background(), []string{ | ||
| "Hello world", "The world is ending", "good bye", | ||
| }) | ||
| require.NoError(t, err) | ||
| require.Len(t, res, 3) | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,79 @@ | ||
| package cybertron | ||
|
|
||
| import ( | ||
| "github.com/nlpodyssey/cybertron/pkg/models/bert" | ||
| "github.com/nlpodyssey/cybertron/pkg/tasks" | ||
| "github.com/nlpodyssey/cybertron/pkg/tasks/textencoding" | ||
| ) | ||
|
|
||
| const ( | ||
| _defaultModel = "sentence-transformers/all-MiniLM-L6-v2" | ||
| _defaultModelsDir = "models" | ||
| _defaultPoolingStrategy = bert.MeanPooling | ||
| ) | ||
|
|
||
| // Option is a function type that can be used to modify the client. | ||
| type Option func(c *Cybertron) | ||
|
|
||
| // apply the option to the instance. | ||
| func (o Option) apply(c *Cybertron) { | ||
| o(c) | ||
| } | ||
|
|
||
| // WithModel is an option for providing the model name to use. Default is | ||
| // "sentence-transformers/all-MiniLM-L6-v2". Note that not all embedding models | ||
| // are supported. | ||
| func WithModel(model string) Option { | ||
| return func(c *Cybertron) { | ||
| c.Model = model | ||
| } | ||
| } | ||
|
|
||
| // WithModelsDir is an option for setting the directory to store downloaded models. | ||
| // Default is "models". | ||
| func WithModelsDir(dir string) Option { | ||
| return func(c *Cybertron) { | ||
| c.ModelsDir = dir | ||
| } | ||
| } | ||
|
|
||
| // WithPoolingStrategy sets the pooling strategy. Default is mean pooling. | ||
| func WithPoolingStrategy(strategy bert.PoolingStrategyType) Option { | ||
| return func(c *Cybertron) { | ||
| c.PoolingStrategy = strategy | ||
| } | ||
| } | ||
|
|
||
| // WithEncoder is an option for providing the Encoder. | ||
| func WithEncoder(encoder textencoding.Interface) Option { | ||
| return func(c *Cybertron) { | ||
| c.encoder = encoder | ||
| } | ||
| } | ||
|
|
||
| func applyOptions(opts ...Option) (*Cybertron, error) { | ||
| c := &Cybertron{ | ||
| Model: _defaultModel, | ||
| ModelsDir: _defaultModelsDir, | ||
| PoolingStrategy: _defaultPoolingStrategy, | ||
| encoder: nil, | ||
| } | ||
|
|
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| for _, opt := range opts { | ||
| opt.apply(c) | ||
| } | ||
|
|
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| if c.encoder == nil { | ||
| encoder, err := tasks.Load[textencoding.Interface](&tasks.Config{ | ||
| ModelsDir: c.ModelsDir, | ||
| ModelName: c.Model, | ||
| }) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
|
|
||
| c.encoder = encoder | ||
| } | ||
|
|
||
| return c, nil | ||
| } |
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