Instructions to use marlex7/multiagent_to_small_trial_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marlex7/multiagent_to_small_trial_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marlex7/multiagent_to_small_trial_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marlex7/multiagent_to_small_trial_5") model = AutoModelForSequenceClassification.from_pretrained("marlex7/multiagent_to_small_trial_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- def249f35b56b00d6e0433609016668c05d66e2d32db4b242276ee5b5d318c54
- Size of remote file:
- 4.86 kB
- SHA256:
- 76f7d1a36047822f09d8cc4597c3969f51c5b5ed0522f9b180bcdea852025f13
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