Instructions to use MENG21/stud-fac-eval-bert-large-uncased_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MENG21/stud-fac-eval-bert-large-uncased_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MENG21/stud-fac-eval-bert-large-uncased_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MENG21/stud-fac-eval-bert-large-uncased_v2") model = AutoModelForSequenceClassification.from_pretrained("MENG21/stud-fac-eval-bert-large-uncased_v2") - Notebooks
- Google Colab
- Kaggle
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [
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## Uses
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- **Repository:** [More Information Needed]
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- **Demo [optional]:** [User Guide](https://huggingface.co/spaces/MENG21/studfacultyeval_prototype/blob/main/prototype-user-guide.pdf)
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## Uses
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