Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use CCChenRyan/LLM_T1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CCChenRyan/LLM_T1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CCChenRyan/LLM_T1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CCChenRyan/LLM_T1") model = AutoModelForSequenceClassification.from_pretrained("CCChenRyan/LLM_T1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8794c051e96717cbd475f9eb4eb3a0d5bc829f2e1cf986a1f4ffcee3bfac4534
- Size of remote file:
- 536 MB
- SHA256:
- 14f7811473dc8df84b28f736c61533f881e69ae993fe5022380a31495c9156c5
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