Instructions to use ConnorLin/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConnorLin/tmp_trainer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConnorLin/tmp_trainer") model = AutoModelForSeq2SeqLM.from_pretrained("ConnorLin/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ConnorLin/tmp_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/ConnorLin/tmp_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://ConnorLin/tmp_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ConnorLin/tmp_trainer/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 2dc4ad6195be43151d33c21dc34327c64e045a33d89a2b48dfdaaf01bf1ffaa4
- Size of remote file:
- 4.09 kB
- SHA256:
- 11c3dbe5d3f74b25517911087af0f2931ac7f6294f1b47c116f0463a4398f217
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