Instructions to use ihk/skillner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihk/skillner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ihk/skillner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ihk/skillner") model = AutoModelForTokenClassification.from_pretrained("ihk/skillner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc1b5e38332fab9c2f4538ab40e24b6562aaa4e39dec1b30d806e9fc8ad98dc3
- Size of remote file:
- 4.54 kB
- SHA256:
- de958a721c099587d7d8730dcc7cb503ce2b74777d2ac926196d4c8b49ec28bf
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