Instructions to use MehdiHosseiniMoghadam/skill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MehdiHosseiniMoghadam/skill with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MehdiHosseiniMoghadam/skill")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MehdiHosseiniMoghadam/skill") model = AutoModelForTokenClassification.from_pretrained("MehdiHosseiniMoghadam/skill", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d40eb5c2fcaf3b890b45cf4197147546ee6bdcb7c15a603b7969ba3d0faa017f
- Size of remote file:
- 436 MB
- SHA256:
- c2ba29c101502724636abd8d9ebc5d3bf0b1a6db4bd87243b2196680b7cce6c8
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