Instructions to use rchan26/english-char-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rchan26/english-char-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rchan26/english-char-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rchan26/english-char-roberta") model = AutoModelForMaskedLM.from_pretrained("rchan26/english-char-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rchan26/english-char-roberta: direct link, hf CLI and curl.
- Browser
- Download file 173 MB
-
https://huggingface.co/rchan26/english-char-roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rchan26/english-char-roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rchan26/english-char-roberta/resolve/main/pytorch_model.bin
173 MB
- Xet hash:
- 6f6dda144a6ea20b995470dfb9fa4a961530e4a6510ea64d541a3b6ae469607e
- Size of remote file:
- 173 MB
- SHA256:
- 390b367416ba9e25853682ac86bfd3f8a99d1fea2ce1ebc539f80989596202e3
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