Text Classification
Transformers
PyTorch
TensorFlow
TensorBoard
French
camembert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use baptiste-pasquier/camembert-allocine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baptiste-pasquier/camembert-allocine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baptiste-pasquier/camembert-allocine")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("baptiste-pasquier/camembert-allocine") model = AutoModelForSequenceClassification.from_pretrained("baptiste-pasquier/camembert-allocine") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb5c87b6e2d8f117541c8749016272373b8bf5d21701d9fad6fbd94f48363f42
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size 442522304
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