Instructions to use maxspad/nlp-qual-q1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxspad/nlp-qual-q1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maxspad/nlp-qual-q1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maxspad/nlp-qual-q1") model = AutoModelForSequenceClassification.from_pretrained("maxspad/nlp-qual-q1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80b6431f6d7576e449c5d0c4b16c73bf93d3bb58c83fc71e947a3fa7dd74dcf4
- Size of remote file:
- 3.18 kB
- SHA256:
- d2319e2683ef4e37cbcbfee47b8e4a8136a0fb8d0e2afbabfaa98a55ac29bc04
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