Instructions to use owen198/philosophy-ROCBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owen198/philosophy-ROCBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="owen198/philosophy-ROCBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("owen198/philosophy-ROCBERT") model = AutoModelForSequenceClassification.from_pretrained("owen198/philosophy-ROCBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from owen198/philosophy-ROCBERT: direct link, hf CLI and curl.
- Browser
- Download file 469 MB
-
https://huggingface.co/owen198/philosophy-ROCBERT/resolve/main/model.safetensors
- Command line
-
hf download hf://owen198/philosophy-ROCBERT/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/owen198/philosophy-ROCBERT/resolve/main/model.safetensors
469 MB
- Xet hash:
- 2acef1a130cd7f21c9e1de15948f3e7e6f1a6461ad2bc20c7f3f940753c6f29c
- Size of remote file:
- 469 MB
- SHA256:
- 0a50eeed35bb54d5fa77e97f88ce4a12e73c35eb37a9041d153fe00667c3d4c9
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