Instructions to use cccmatthew/model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cccmatthew/model_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cccmatthew/model_test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cccmatthew/model_test") model = AutoModelForTokenClassification.from_pretrained("cccmatthew/model_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 461c71bf14f420409f345cc125d1e81908751bc57688991f6234277c0f9b7a02
- Size of remote file:
- 266 MB
- SHA256:
- 2ea339b9fbfea2c7fa0480bf51c4de2b2199c71965ec2a1d0f4dc30e72005b8e
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