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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33ee890640dd19d2dbb1f218e82c34f4bb47d948472778b1d68a2db17c599c59
- Size of remote file:
- 431 MB
- SHA256:
- e07c5559334f26e757e0dc0189a172d983463ee969f3e418e9434ccf09659846
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