Text Classification
Transformers
Safetensors
English
gpt2
text-generation-inference
causal-language-model
conversational
question-answering
Instructions to use Wonder-Griffin/JudgeLLM2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wonder-Griffin/JudgeLLM2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Wonder-Griffin/JudgeLLM2") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, GPTForCasualLM tokenizer = AutoTokenizer.from_pretrained("Wonder-Griffin/JudgeLLM2") model = GPTForCasualLM.from_pretrained("Wonder-Griffin/JudgeLLM2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9dcd619b62ab27ee122ff4f1586667f69bcbdbe1dd7dad10478cfe410afbd63
- Size of remote file:
- 5.11 kB
- SHA256:
- e2f42d1c1943fa3f17adb12b9ff782afc8057b67c9d4fee7778f104b09dfdedf
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