Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use SubhasishSaha/Resume-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SubhasishSaha/Resume-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SubhasishSaha/Resume-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SubhasishSaha/Resume-Classifier") model = AutoModelForSequenceClassification.from_pretrained("SubhasishSaha/Resume-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SubhasishSaha/Resume-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/SubhasishSaha/Resume-Classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://SubhasishSaha/Resume-Classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SubhasishSaha/Resume-Classifier/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 4a9c0b1977d5115aa52888027d55abec944c998f7f9b758204f775fb1eedf259
- Size of remote file:
- 4.92 kB
- SHA256:
- 302506ab37a93d5eb20fdee3991bb66961bbc8ffdc5d7a266c24198635d0d79c
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