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 pytorch_model.bin from Riyagarg01/Practice1: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Riyagarg01/Practice1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Riyagarg01/Practice1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Riyagarg01/Practice1/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 828b396bb0d79623cdf5cb99adac02e595d9bd9adb0ccee548916321c8f57b36
- Size of remote file:
- 558 MB
- SHA256:
- 33b0fdeb9d3baa261b037a0dddb390b9013aa433bd67f0dba30d9fd121fe2498
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