Instructions to use myxik/medhack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use myxik/medhack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="myxik/medhack")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("myxik/medhack") model = AutoModelForTokenClassification.from_pretrained("myxik/medhack") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bb898276c695ed945353f5a1a89d46b5ac77a50234cce35c9d87171f23893d0
- Size of remote file:
- 1.08 GB
- SHA256:
- 2e174708744a90c5c772e6102ad80f16982d2333e4565745ecab4e5737abf2bd
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