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:
- 1dcd4009a8ead4dc9a33ff4fc0a228f67c8f2b7beccbf937e0a05bccb290e805
- Size of remote file:
- 5.71 kB
- SHA256:
- 41dce1f2850b68c51c17d430f014b9bde54ae5f8bea9c8f67c8c64748ce746ff
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