Instructions to use PrachiPatel/Headache_misinformation_detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrachiPatel/Headache_misinformation_detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PrachiPatel/Headache_misinformation_detect")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PrachiPatel/Headache_misinformation_detect") model = AutoModelForSequenceClassification.from_pretrained("PrachiPatel/Headache_misinformation_detect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from PrachiPatel/Headache_misinformation_detect: direct link, hf CLI and curl.
- Browser
- Download file 175 MB
-
https://huggingface.co/PrachiPatel/Headache_misinformation_detect/resolve/main/optimizer.pt
- Command line
-
hf download hf://PrachiPatel/Headache_misinformation_detect/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/PrachiPatel/Headache_misinformation_detect/resolve/main/optimizer.pt
175 MB
- Xet hash:
- e6f089a23e8bef1f755fb2baf77989598d962140c0212ce66b1143b7bcf1bcb1
- Size of remote file:
- 175 MB
- SHA256:
- 58c4e310ccf6eb7f054984f9fa52366f39b7959913feaf86041ea110c6a6b572
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