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Update app.py
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app.py
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@@ -5,15 +5,15 @@ import torch
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import torch.nn.functional as F
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import os
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#
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CACHE_DIR = "/data"
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os.environ[
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os.environ[
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app = FastAPI()
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#
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MODEL_NAME = "
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, cache_dir=CACHE_DIR)
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model = AutoModel.from_pretrained(MODEL_NAME, cache_dir=CACHE_DIR)
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@@ -27,4 +27,4 @@ async def embed_text(payload: EmbedInput):
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outputs = model(**inputs)
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embeddings = outputs.last_hidden_state[:, 0] # CLS token
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normalized = F.normalize(embeddings, p=2, dim=1)
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return {
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import torch.nn.functional as F
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import os
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# 📁 Rediriger le cache HF vers un dossier autorisé
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CACHE_DIR = "/data"
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os.environ["HF_HOME"] = CACHE_DIR
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os.environ["TRANSFORMERS_CACHE"] = CACHE_DIR
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app = FastAPI()
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# 📌 Nouveau modèle Jina Embeddings v3
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MODEL_NAME = "jinaai/jina-embeddings-v3-base-en"
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, cache_dir=CACHE_DIR)
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model = AutoModel.from_pretrained(MODEL_NAME, cache_dir=CACHE_DIR)
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outputs = model(**inputs)
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embeddings = outputs.last_hidden_state[:, 0] # CLS token
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normalized = F.normalize(embeddings, p=2, dim=1)
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return {"embedding": normalized[0].tolist()}
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