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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- num_return_sequences: 1
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# Score
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- f1-score: 0.
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- macro avg: 0.84748
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- weighted avg: 0.81575
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# Score
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- f1-score: 0.85574
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- macro avg: 0.84748
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- weighted avg: 0.81575
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