Instructions to use Riyagarg01/Practice1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Riyagarg01/Practice1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Riyagarg01/Practice1") model = AutoModelForSeq2SeqLM.from_pretrained("Riyagarg01/Practice1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Riyagarg01/Practice1: direct link, hf CLI and curl.
- Browser
- Download file 1.12 GB
-
https://huggingface.co/Riyagarg01/Practice1/resolve/main/optimizer.pt
- Command line
-
hf download hf://Riyagarg01/Practice1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Riyagarg01/Practice1/resolve/main/optimizer.pt
1.12 GB
- Xet hash:
- 9f62967f26ed168423f3bdef72bf6c5bc374139a8c712d80f03f0d2d42b29e2e
- Size of remote file:
- 1.12 GB
- SHA256:
- b27e8835f1d8214241023306a28ee0b5a9d9c04601a9da0ffeae35f0fd072df7
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