Instructions to use belpekkan/chess_T5_seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use belpekkan/chess_T5_seq2seq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("belpekkan/chess_T5_seq2seq") model = AutoModelForSeq2SeqLM.from_pretrained("belpekkan/chess_T5_seq2seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from belpekkan/chess_T5_seq2seq: direct link, hf CLI and curl.
- Browser
- Download file 484 MB
-
https://huggingface.co/belpekkan/chess_T5_seq2seq/resolve/main/optimizer.pt
- Command line
-
hf download hf://belpekkan/chess_T5_seq2seq/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/belpekkan/chess_T5_seq2seq/resolve/main/optimizer.pt
484 MB
- Xet hash:
- cf88c28c44f4f061a2238638c27b88428591e63b63375cda9a2a4154ae2850d2
- Size of remote file:
- 484 MB
- SHA256:
- 844c26767f9e64218521a3af439af6928256673d9be0843e15e4dec39b3e5092
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