Instructions to use Shushant/ApplicantTrackingSystemBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/ApplicantTrackingSystemBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Shushant/ApplicantTrackingSystemBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Shushant/ApplicantTrackingSystemBERT") model = AutoModelForMaskedLM.from_pretrained("Shushant/ApplicantTrackingSystemBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc81f479234073229b3c1cf20077da6acb3930b477f879c257055a83168aa954
- Size of remote file:
- 3.38 kB
- SHA256:
- 26f62459de65c4096456163e0f25ae42f6eba374893a5d926540085abf18d822
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