Instructions to use EndLessTime/fine_tuned_per_domain_balanced_32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_per_domain_balanced_32B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_per_domain_balanced_32B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_per_domain_balanced_32B") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_per_domain_balanced_32B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf08a68cdaf48d671a6149a0b7576bd3701d23523430672f2be6c73b02e8d00b
- Size of remote file:
- 4.84 GB
- SHA256:
- b5bfaa2ee390cbdd4220327540bd36b3c5c889b7c84d782d1d7f95b60b7e2cba
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