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 flax_model.msgpack from shauryr/checkpoint-475000: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/shauryr/checkpoint-475000/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://shauryr/checkpoint-475000/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/shauryr/checkpoint-475000/resolve/main/flax_model.msgpack
499 MB
- Xet hash:
- 5b69a008ce749b85b9b8fd87a7075a300c62f4d34e9c76433a32b9c2c5ab2146
- Size of remote file:
- 499 MB
- SHA256:
- c4076d6a6194604a889e9bb4b9c3e90cf85c2133abd243d4fef3e68b42da604b
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