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:
- 746d41416e02700cc1c328f58e5856605b3acec9cf43821447f748b9c3570823
- Size of remote file:
- 1.34 GB
- SHA256:
- cae9c83d13291be565ef89cbe180235243c8689318b96b4d9110159413b6ce0a
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