Instructions to use blackwingedkite/gutalk_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blackwingedkite/gutalk_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="blackwingedkite/gutalk_classification", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blackwingedkite/gutalk_classification", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
pass tokenization_chatglm.py and MODEL_LICENSE is downloaded by original CHATGLM2-6B. this is the ChatGLM2-6B model. We are struggled by the RAM problem from Google colab.
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