Instructions to use Almashtouly/Reviewer_LLM_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almashtouly/Reviewer_LLM_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Almashtouly/Reviewer_LLM_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Almashtouly/Reviewer_LLM_Classifier") model = AutoModelForSequenceClassification.from_pretrained("Almashtouly/Reviewer_LLM_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daf53226c748379e7ede99f928b9f8de0120f4c63c2a735ca998b59c8216d9ac
- Size of remote file:
- 438 MB
- SHA256:
- 2a152728af58a83e04599b5b514b7787f5ee38537561e43199744b4014bf741e
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