Instructions to use Robzy/jobbert_knowledge_extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Robzy/jobbert_knowledge_extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Robzy/jobbert_knowledge_extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Robzy/jobbert_knowledge_extraction") model = AutoModelForTokenClassification.from_pretrained("Robzy/jobbert_knowledge_extraction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd81416808ec2b79c97490630fef7a623cc15b65b4bd574df90d162026e397ba
- Size of remote file:
- 431 MB
- SHA256:
- aba5ab06cc0dc8246d51d665645103d5af8b9d43ecd0fef275a587c49c6955ae
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