Instructions to use threite/test-trainer-push with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use threite/test-trainer-push with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="threite/test-trainer-push")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("threite/test-trainer-push") model = AutoModelForSequenceClassification.from_pretrained("threite/test-trainer-push", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2739b271a94b90c81ac64580b7d078b7f0e6d112ae39dd0046e1160ab02d6740
- Size of remote file:
- 3.39 kB
- SHA256:
- 08ae82133dbe1c3a4cd44ccd23076fb56fdff4cbd78de778cd7d6f84141e8567
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