Instructions to use zhuqing/roberta-base-uncased-all-intersection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhuqing/roberta-base-uncased-all-intersection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zhuqing/roberta-base-uncased-all-intersection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zhuqing/roberta-base-uncased-all-intersection") model = AutoModelForMaskedLM.from_pretrained("zhuqing/roberta-base-uncased-all-intersection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from zhuqing/roberta-base-uncased-all-intersection: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/zhuqing/roberta-base-uncased-all-intersection/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://zhuqing/roberta-base-uncased-all-intersection/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zhuqing/roberta-base-uncased-all-intersection/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 837f8335d415b3971ffda7bc44486389b0016d3471af2e67ccb74aaaa7439ca4
- Size of remote file:
- 499 MB
- SHA256:
- 1e49b57b53fba7c291a285cabb827807e00c3f31bded689954389a44828a4b31
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