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
Commit History
-
new model
ac9bcd2
-
Upload special_tokens_map.json
3181dfa -
Upload vocab.json
a12809a -
Upload training_args.bin with git-lfs
a58f8b5 -
Upload trainer_state.json
fa736c0 -
Upload tokenizer_config.json
ccf6834 -
Upload tokenizer.json
b06d801 -
Upload scheduler.pt with git-lfs
223f67b -
Upload rng_state.pth with git-lfs
175b6b7 -
Upload config.json
9e43142 -
Upload merges.txt
bb1ce88 -
Upload optimizer.pt with git-lfs
935bc51 -
Upload pytorch_model.bin with git-lfs
ce80c4b
-
initial commit
13a1625