Instructions to use Nathali99/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nathali99/tmp_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Nathali99/tmp_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Nathali99/tmp_trainer") model = AutoModelForTokenClassification.from_pretrained("Nathali99/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d4544e76ced8c6242e56638c2c1fab387a122da79b5fc0c440cf1a49b31e816
- Size of remote file:
- 5.11 kB
- SHA256:
- 87dc200d463da2bd2b88ac1a988de8bbf90ceca916e4c9d8802b762b84a8a0d7
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