Instructions to use achyut/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use achyut/testmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="achyut/testmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("achyut/testmodel") model = AutoModelForSequenceClassification.from_pretrained("achyut/testmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d47c239cd625e67dcd878297a678f87df2dad6b6627d0993ece4c26ddadd619c
- Size of remote file:
- 438 MB
- SHA256:
- 393dad2bd5b5cb2897877513315a93b5a16346829c316d0c886b553809092a1f
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