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:
- 2472c70dec47e2608f5ea41f038ab97cdeae5ad54a6898905854606f272ea5fa
- Size of remote file:
- 4.84 GB
- SHA256:
- 1ae00cafa7a775cf4f50701855dfe253f96b7795efe472ed55b0d26286d9dea8
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