Instructions to use sujit27/sample_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujit27/sample_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sujit27/sample_data")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sujit27/sample_data") model = AutoModelForTokenClassification.from_pretrained("sujit27/sample_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7136dbd46931d972f1fb5aec4f792ab0bbecd736ba088e6af1f9e9b2b1be254e
- Size of remote file:
- 4.03 kB
- SHA256:
- 2df789abcb23d846539f6371973af479722c2fa03f3c133903a9334565c80156
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