Instructions to use bkane2/skills-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkane2/skills-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bkane2/skills-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bkane2/skills-trainer") model = AutoModelForSequenceClassification.from_pretrained("bkane2/skills-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab8df9c3e4713a6b2036d19fe5329c1276df2cd0e869421b0cbd5688a3d0d400
- Size of remote file:
- 268 MB
- SHA256:
- 3ae9c8a6f5530d614a040503b30e296afb5ac44ce4bd93148302047b7bbdc3d9
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