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
File size: 134 Bytes
31eb676 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:749d04ea2901a5ad00e113ade3316ded52d0d41aed3d018e6323f4afa831df52
size 267887936
|