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") - 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 sha256:9ac3a3b834afc8ba86925dc4a13977d2029b3aa03c63c8a183743fbd1a1b8e31
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size 438085080
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