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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 125353772898519cdd5e2d7623c166c8d1808212f143ee0c3c4811744c1d8252
- Size of remote file:
- 3.31 kB
- SHA256:
- 5307267964eb099c7804ee1f68fcf5328e344f3ea0c3ea80850dbb4136f0b50e
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