Instructions to use CCTD/LLM_Active_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CCTD/LLM_Active_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CCTD/LLM_Active_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CCTD/LLM_Active_Model") model = AutoModelForSequenceClassification.from_pretrained("CCTD/LLM_Active_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9564e8c1159ee23fb5e7d4a38e4ba396c01ef2d9ff96c2585d9b59bdce97fd16
- Size of remote file:
- 433 MB
- SHA256:
- 5fdb60e8461b34faacd412d64c6efe4a1a022484459aa1a61db1f975b92e6bc8
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