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:
- ded6d71bfcf2ad1ef7f8aa2cfffb22809940f965e68854f724c0818bee94303b
- Size of remote file:
- 3.51 kB
- SHA256:
- b869928b212f6387f1f5a23db81dc2279474c2a33b4dabeceaa0bffbeb45aafe
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