Instructions to use bertin-project/bertin-base-stepwise-exp-512seqlen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-stepwise-exp-512seqlen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-base-stepwise-exp-512seqlen")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-stepwise-exp-512seqlen") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-stepwise-exp-512seqlen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download outputs/optimizer_state.msgpack from bertin-project/bertin-base-stepwise-exp-512seqlen: direct link, hf CLI and curl.
- Browser
- Download file 500 MB
-
https://huggingface.co/bertin-project/bertin-base-stepwise-exp-512seqlen/resolve/main/outputs/optimizer_state.msgpack
- Command line
-
hf download hf://bertin-project/bertin-base-stepwise-exp-512seqlen/outputs/optimizer_state.msgpack
-
curl -L -o optimizer_state.msgpack https://huggingface.co/bertin-project/bertin-base-stepwise-exp-512seqlen/resolve/main/outputs/optimizer_state.msgpack
500 MB
- Xet hash:
- d2ff6b40b71ad0467eb115d5cf5b114bc3bf1708375ace83180b82e3006fa99b
- Size of remote file:
- 500 MB
- SHA256:
- 454081a0a1386f88384007ec81b6564461b3fea4611907b1ffdcca605a502328
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