Instructions to use barszot/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barszot/tmp_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="barszot/tmp_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("barszot/tmp_trainer") model = AutoModelForTokenClassification.from_pretrained("barszot/tmp_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61d3763c83b890ffda23a8cb913acd18290c86b902f6ac89c8f3845e84f618aa
- Size of remote file:
- 1.11 GB
- SHA256:
- 6eb488db51b136519a7540387fe4870a79d135d134ee2fef5d9f4b58c345ae0b
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