Instructions to use P829692/thesis-model-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use P829692/thesis-model-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="P829692/thesis-model-1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("P829692/thesis-model-1") model = AutoModelForTokenClassification.from_pretrained("P829692/thesis-model-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eb78f29188e3b3a135c052f2ce7a6c5959612e43489155aa513be34016b4333
- Size of remote file:
- 3.52 kB
- SHA256:
- d14645340ea9e4938be045600cbec1f3595b46c2818ce608f73cbf396a631af7
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