Instructions to use Charliefederer/datafun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Charliefederer/datafun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Charliefederer/datafun")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Charliefederer/datafun") model = AutoModelForTokenClassification.from_pretrained("Charliefederer/datafun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cc6fe4734842746af76e82dc4b9430fd6b8e338e5f62704efa18a26930d35a8
- Size of remote file:
- 5.11 kB
- SHA256:
- 9457c0ea5da6fec9435b9cb72bdf35e8a176f1f63c18f045d0f1d5202852b50d
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