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:
- 0ff467b8dc0712b1c082bfb0b54bba1bef6ffe4492c4ac52785a61489730172e
- Size of remote file:
- 4.6 kB
- SHA256:
- adca24904d570244ad468609f892cc9a00fc3c2c3375134a675eaad12984c891
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.