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19 changes: 0 additions & 19 deletions fastembed/late_interaction/token_embeddings.py
Original file line number Diff line number Diff line change
Expand Up @@ -70,12 +70,6 @@ def embed(
) -> Iterable[NumpyArray]:
yield from super().embed(documents, batch_size=batch_size, parallel=parallel, **kwargs)

def tokenize_docs(self, documents: list[str]) -> list[NumpyArray]:
if self.tokenizer is None:
raise ValueError("Tokenizer not initialized")
encoded = self.tokenizer.encode_batch(documents)
return [np.array(e.ids, dtype=np.int32) for e in encoded]


class TokensEmbeddingWorker(TextEmbeddingWorker[NumpyArray]):
def init_embedding(
Expand All @@ -87,16 +81,3 @@ def init_embedding(
threads=1,
**kwargs,
)


if __name__ == "__main__":
# Example usage
print(TokenEmbeddingsModel.list_supported_models())
model = TokenEmbeddingsModel(model_name="jinaai/jina-embeddings-v2-small-en-tokens")
docs = ["Hello, world!", "hello", "hello hello"]

embeddings = model.embed(docs)
for emb in embeddings:
print(emb.shape)

print(model.tokenize_docs(docs))