Instructions to use Pradeep/Twitter-777 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pradeep/Twitter-777 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pradeep/Twitter-777")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pradeep/Twitter-777") model = AutoModelForSequenceClassification.from_pretrained("Pradeep/Twitter-777", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Pradeep/Twitter-777: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Pradeep/Twitter-777/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Pradeep/Twitter-777/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Pradeep/Twitter-777/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 7b5d14b5263d8c38e348176a668152cc5b22fef8ad779060b524038dcf5ad69a
- Size of remote file:
- 438 MB
- SHA256:
- 29e9889b859e04957ff7ca8e8f96451ca2dcbdb27bab2c30a0f172191387f4f1
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