Instructions to use marlex7/multiagent_to_small_trial_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marlex7/multiagent_to_small_trial_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marlex7/multiagent_to_small_trial_7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marlex7/multiagent_to_small_trial_7") model = AutoModelForSequenceClassification.from_pretrained("marlex7/multiagent_to_small_trial_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from marlex7/multiagent_to_small_trial_7: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/marlex7/multiagent_to_small_trial_7/resolve/main/training_args.bin
- Command line
-
hf download hf://marlex7/multiagent_to_small_trial_7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/marlex7/multiagent_to_small_trial_7/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- f2b67b4f2989b5c155be9ec16acd8d7b58e55bbec1152c6ee82def3e83803bf8
- Size of remote file:
- 4.86 kB
- SHA256:
- fd0a5ead6ce98ea75ccdac2c216fe307554d3344c3ee1de75d9cd34053c44833
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