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:
- 58d2c456cb8b7bc00dac4fa6c635a5f097d8141d7782121e78b3f0d03f9921f2
- Size of remote file:
- 44.7 MB
- SHA256:
- d4188f24172f11c3e8ed2bec709367b6869ea74916a3eee361623e817470e01b
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