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:
- d7585ad730fde662c0c600a165b24bd38d4478981cef84068f322c5cbbff99be
- Size of remote file:
- 4.84 GB
- SHA256:
- 6d4a27044f5489f2afd6cc30fa78486707c306f0a898c3e6a17219fcfaed10fc
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