Instructions to use marlex7/multiagent_to_small_trial_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marlex7/multiagent_to_small_trial_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marlex7/multiagent_to_small_trial_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marlex7/multiagent_to_small_trial_2") model = AutoModelForSequenceClassification.from_pretrained("marlex7/multiagent_to_small_trial_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from marlex7/multiagent_to_small_trial_2: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/marlex7/multiagent_to_small_trial_2/resolve/main/training_args.bin
- Command line
-
hf download hf://marlex7/multiagent_to_small_trial_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/marlex7/multiagent_to_small_trial_2/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 3362ef47e59887ce77861a79b29c000f400c165a46f20ede07c4e8c82055710f
- Size of remote file:
- 4.86 kB
- SHA256:
- 293a07d0011723fb5645b53bd6be00c0915de4ca517298d6ced830619e6286af
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