Instructions to use isarth/roberta-news-chatgpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isarth/roberta-news-chatgpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="isarth/roberta-news-chatgpt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("isarth/roberta-news-chatgpt") model = AutoModelForMaskedLM.from_pretrained("isarth/roberta-news-chatgpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from isarth/roberta-news-chatgpt: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/isarth/roberta-news-chatgpt/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://isarth/roberta-news-chatgpt/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/isarth/roberta-news-chatgpt/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 8ced8ca45162d7c7657cfc85b89d1826cf20ec3580235278661236f3a97a7bbd
- Size of remote file:
- 499 MB
- SHA256:
- 9f350bd2256bb4a5e7ca9c888e9323f161b4311131001699ae896c3a78ac68a5
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