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:
- fd1be5e32bfa5c6e917533f749744d8279a07c39a2c41b6af9b864d0b5d32ac2
- Size of remote file:
- 5.24 kB
- SHA256:
- 779160f61658f523db0d12b0e3dc118a178fe1a80f1bc3af64d572222f207a27
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