Instructions to use Asif1997/finetuning-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Asif1997/finetuning-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Asif1997/finetuning-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Asif1997/finetuning-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("Asif1997/finetuning-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Asif1997/finetuning-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Asif1997/finetuning-sentiment-analysis/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Asif1997/finetuning-sentiment-analysis/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Asif1997/finetuning-sentiment-analysis/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 4729c31541fc29636c062f0b8b7dd10fc39ff843ed261ddef3c3f11037c6b589
- Size of remote file:
- 268 MB
- SHA256:
- 8c7b5cc1f6752922bae40298990d7b0dc9fffb2f191b488302e2a22cf52fac8a
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