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:
- 450a24003bd11ebbc1069623522019c279d25bc82a20519a9c54c9cc8c06069a
- Size of remote file:
- 3.45 kB
- SHA256:
- dd6b16aaa793e291dc8d3c716afa04b73d57ad3049ae2f4910373cf103c1db4f
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