Instructions to use context-sbf/charm-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use context-sbf/charm-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("context-sbf/charm-small") model = AutoModelForSeq2SeqLM.from_pretrained("context-sbf/charm-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from context-sbf/charm-small: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/context-sbf/charm-small/resolve/main/training_args.bin
- Command line
-
hf download hf://context-sbf/charm-small/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/context-sbf/charm-small/resolve/main/training_args.bin
3.5 kB
- Xet hash:
- f7c52f07ad1881c10f226137ba215c9ed34d050284252676277281b9b22e2248
- Size of remote file:
- 3.5 kB
- SHA256:
- 5d969e154bd99ca8cb9ee8aaa088118229b09250ba379b92e00d7aeca23ab5e1
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