Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use eskayML/interview_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eskayML/interview_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eskayML/interview_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eskayML/interview_classifier") model = AutoModelForSequenceClassification.from_pretrained("eskayML/interview_classifier") - Notebooks
- Google Colab
- Kaggle
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- Jul04_10-06-36_0e9ed6c0f9ab
- Jul04_10-07-52_0e9ed6c0f9ab
- Jul04_10-16-28_0e9ed6c0f9ab
- Jul04_10-59-22_0e9ed6c0f9ab
- Jul04_11-03-43_0e9ed6c0f9ab
- Jul06_17-37-00_93aa368a7843
- Jun03_13-55-56_ae93aebd6432
- Jun18_19-50-34_0c265ed1ed29
- May24_12-14-46_1a84f68f1e0f
- Nov18_17-15-43_645883068caf
- Oct11_16-37-20_767204f4c226
- Oct11_16-58-00_767204f4c226
- Oct11_17-11-59_e4706a6fd752
- Oct12_22-05-26_88fb077b9c52