Instructions to use harish/TEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/TEST with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("harish/TEST") model = AutoModelForSeq2SeqLM.from_pretrained("harish/TEST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-250/optimizer.pt from harish/TEST: direct link, hf CLI and curl.
- Browser
- Download file 1.78 GB
-
https://huggingface.co/harish/TEST/resolve/main/checkpoint-250/optimizer.pt
- Command line
-
hf download hf://harish/TEST/checkpoint-250/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/harish/TEST/resolve/main/checkpoint-250/optimizer.pt
1.78 GB
- Xet hash:
- 924b50bf50bdffcb707d8eb12248c3c3c18fd0612cd7e0af7a01a0ed29505a81
- Size of remote file:
- 1.78 GB
- SHA256:
- e3a1197fbf074b2b875ac9a8955f72611115eff1b55e29912e5f3a096dd54200
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