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
Upload BertForSequenceClassification
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "checkpoint-216
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"architectures": [
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"BertForSequenceClassification"
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],
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{
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"_name_or_path": "llm_favrskov_backup_final_8epochs/checkpoint-216",
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"architectures": [
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"BertForSequenceClassification"
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],
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