Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use TayebBou/sentiment-fr-allocine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TayebBou/sentiment-fr-allocine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TayebBou/sentiment-fr-allocine")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TayebBou/sentiment-fr-allocine") model = AutoModelForSequenceClassification.from_pretrained("TayebBou/sentiment-fr-allocine") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 091004f4891f308bc875b355f7247d5721ac365a8bda95ef471b6817626fe5ad
- Size of remote file:
- 5.18 kB
- SHA256:
- 6f8edce02f829309557bd493c990c0f5ee25f4ca872dee0619ef8769290bd972
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