Text Classification
Transformers
TensorBoard
Safetensors
camembert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ac0hik/Sentiment_Analysis_French with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ac0hik/Sentiment_Analysis_French with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ac0hik/Sentiment_Analysis_French")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ac0hik/Sentiment_Analysis_French") model = AutoModelForSequenceClassification.from_pretrained("ac0hik/Sentiment_Analysis_French", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65081a2ddd86c7e98a4700a60ae606feb32bfe93e4330ffadc4a9a9c903fb8e5
- Size of remote file:
- 443 MB
- SHA256:
- 444c2014d2aa74bba5ff857ac7f97d5ad0fe03683a99d624c1b1ce67d20c63bc
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