Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Mahmoud8/sentiment_analysis_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/sentiment_analysis_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/sentiment_analysis_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/sentiment_analysis_model") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/sentiment_analysis_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Mahmoud8/sentiment_analysis_model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Mahmoud8/sentiment_analysis_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Mahmoud8/sentiment_analysis_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mahmoud8/sentiment_analysis_model/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 4974d47380570e78ed5f3de18237aba53f8900d2b39592e4c2d31ab74c03460d
- Size of remote file:
- 268 MB
- SHA256:
- b8f8ae45a441b851e9e38f7b2107045d108004f0027e1ead5e88ac8ab2ecc32a
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