Instructions to use egomal/training_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egomal/training_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="egomal/training_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("egomal/training_output") model = AutoModelForSequenceClassification.from_pretrained("egomal/training_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
847491b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:37b7925ea30c927cf05e1e6b7be747eae7192136e40f7244f630c54dd46f525c
size 4536
|