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/7904c0c2a37e4c6697277961ff574ea107fc80db/training_args.bin
- Command line
-
hf download hf://ConnorLin/tmp_trainer@7904c0c2a37e4c6697277961ff574ea107fc80db/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ConnorLin/tmp_trainer/resolve/7904c0c2a37e4c6697277961ff574ea107fc80db/training_args.bin
4.09 kB
- Xet hash:
- 5cd82624e6a45f09c8a1b2e35de36d2689a7575120f6fb4345e835c33485d6a8
- Size of remote file:
- 4.09 kB
- SHA256:
- c4c437e143b3fc5fe81f5d62595eaf197e0b35b3e5a1469ab9bad3b9bd809cdd
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