Instructions to use marlex7/multiagent_to_small_trial_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marlex7/multiagent_to_small_trial_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marlex7/multiagent_to_small_trial_3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marlex7/multiagent_to_small_trial_3") model = AutoModelForSequenceClassification.from_pretrained("marlex7/multiagent_to_small_trial_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from marlex7/multiagent_to_small_trial_3: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/marlex7/multiagent_to_small_trial_3/resolve/main/training_args.bin
- Command line
-
hf download hf://marlex7/multiagent_to_small_trial_3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/marlex7/multiagent_to_small_trial_3/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 1ef3506c35ddcd8b517049ad37a8c2848ea07bd478ced3f66ad5c9b01dab8be5
- Size of remote file:
- 4.86 kB
- SHA256:
- eea9514af44efe827b434e42c1d606935e442b13fe32c5221fb83e5341addcf8
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