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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8764b7074ba7a8fa572d481f3a481ef5a064febb762104ec581503410e3ac05
- Size of remote file:
- 561 MB
- SHA256:
- 08843f060d831abbab62f933c3e0ef4352e52338ad0f869536c4f3f216923b32
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