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 new_model/checkpoint-2000/tokenizer.json from Riyagarg01/Practice1: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/Riyagarg01/Practice1/resolve/main/new_model/checkpoint-2000/tokenizer.json
- Command line
-
hf download hf://Riyagarg01/Practice1/new_model/checkpoint-2000/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Riyagarg01/Practice1/resolve/main/new_model/checkpoint-2000/tokenizer.json
2.11 MB
- Xet hash:
- 873942454df6a9891daeedb04ad6d97f32c9581888190c6321b994eab8941f26
- Size of remote file:
- 2.11 MB
- SHA256:
- 3c10114c3062d3e9ab84a448abfb5166a8427946d8a3e5b99ecfac7313fe3091
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