Instructions to use marlex7/multiagent_to_small_trial_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marlex7/multiagent_to_small_trial_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marlex7/multiagent_to_small_trial_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marlex7/multiagent_to_small_trial_4") model = AutoModelForSequenceClassification.from_pretrained("marlex7/multiagent_to_small_trial_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 973833b6d800ac3ba9506da08588f7719e30a240422c6f723dfa47949c36e5ee
- Size of remote file:
- 4.86 kB
- SHA256:
- 2040fd051eac1ba55e6f3d1d9ccc8aac711d3c3ef5286eb7eb62b89fa3773db7
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