Instructions to use dreaming-tree/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dreaming-tree/tmp_trainer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaTaggerForMultiSpanQA tokenizer = AutoTokenizer.from_pretrained("dreaming-tree/tmp_trainer") model = RobertaTaggerForMultiSpanQA.from_pretrained("dreaming-tree/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dreaming-tree/tmp_trainer: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/dreaming-tree/tmp_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://dreaming-tree/tmp_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dreaming-tree/tmp_trainer/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 05b6b1c3d6628d62468689a83193741c5b6506a88e22287122d9728ad7a186a2
- Size of remote file:
- 3.45 kB
- SHA256:
- b2e0fd018566d261913290c86af41d745db04603c58166cd9b4e9233aeda7bf9
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