Instructions to use shauryr/checkpoint-475000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shauryr/checkpoint-475000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shauryr/checkpoint-475000")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shauryr/checkpoint-475000") model = AutoModelForMaskedLM.from_pretrained("shauryr/checkpoint-475000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from shauryr/checkpoint-475000: direct link, hf CLI and curl.
- Browser
- Download file 998 MB
-
https://huggingface.co/shauryr/checkpoint-475000/resolve/main/optimizer.pt
- Command line
-
hf download hf://shauryr/checkpoint-475000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/shauryr/checkpoint-475000/resolve/main/optimizer.pt
998 MB
- Xet hash:
- d967855199c7425e5cff083b06e45df9f46ab8ddeeb718e73fc35c2ff13c57d3
- Size of remote file:
- 998 MB
- SHA256:
- 83090d54275eaa789a6ea074382ee640f9e10f02ae88b00b5222dbbc6eecf95a
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