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 training_args.bin from Mahmoud8/sentiment_analysis_model: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Mahmoud8/sentiment_analysis_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Mahmoud8/sentiment_analysis_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mahmoud8/sentiment_analysis_model/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 70726019780e3c55479fc393fc616cf999f02635fed3764516c7a8b99165e44f
- Size of remote file:
- 4.09 kB
- SHA256:
- cd57fb92bbd23db017fb395292590c1766487239b003919fbeca654156ca4b77
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