Instructions to use kabir5297/KabirResumeClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kabir5297/KabirResumeClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kabir5297/KabirResumeClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kabir5297/KabirResumeClassification") model = AutoModelForSequenceClassification.from_pretrained("kabir5297/KabirResumeClassification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3872fb5d20b747eba2ebe54554fde27bd20f8c5ddecff398fef8310f9e04461d
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size 469332272
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