Instructions to use Andrei95/jobbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrei95/jobbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Andrei95/jobbert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Andrei95/jobbert") model = AutoModelForTokenClassification.from_pretrained("Andrei95/jobbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b4fce9615d099b8bcc791edc95c098dceb8a4cac2a28eba272741bb49f40acc
- Size of remote file:
- 669 kB
- SHA256:
- ce5329e13fa2a461b8ad21453d4ed1be6de6c3e0b371aafa2b9572217b659ea1
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