Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use eskayML/bert_interview_duplicated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eskayML/bert_interview_duplicated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eskayML/bert_interview_duplicated")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eskayML/bert_interview_duplicated") model = AutoModelForSequenceClassification.from_pretrained("eskayML/bert_interview_duplicated") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eebb7c0056cb13e0d52ad6f5cf0e93b68532d747dec6d659d47dbc97a5904764
- Size of remote file:
- 268 MB
- SHA256:
- 749d04ea2901a5ad00e113ade3316ded52d0d41aed3d018e6323f4afa831df52
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