Instructions to use Apizhai/Albert-IT-JobRecommendation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apizhai/Albert-IT-JobRecommendation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Apizhai/Albert-IT-JobRecommendation")# Load model directly from transformers import AutoTokenizer, AlbertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Apizhai/Albert-IT-JobRecommendation") model = AlbertForMultiLabelSequenceClassification.from_pretrained("Apizhai/Albert-IT-JobRecommendation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb9221110c7ca9c91b7a7863d987957f1d102e993c37fdf18eca8db0d27f5bfa
- Size of remote file:
- 46.8 MB
- SHA256:
- 08820634a7ce7f656591ffc26a2fbe367fceb6c0b829b32c6a0839fca5267cdf
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