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Update app.py
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app.py
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@@ -5,15 +5,17 @@ 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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app = FastAPI()
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# Charger
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MODEL_NAME = "thenlper/gte-small"
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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model = AutoModel.from_pretrained(MODEL_NAME)
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class EmbedInput(BaseModel):
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text: str
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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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# ✅ Charger modèle et tokenizer avec cache_dir précisé explicitement
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MODEL_NAME = "thenlper/gte-small"
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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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class EmbedInput(BaseModel):
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text: str
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