Text Classification
Transformers
PyTorch
English
bert
chemistry
biology
medical
text-embeddings-inference
Instructions to use terran-ai/WOS46985Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use terran-ai/WOS46985Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="terran-ai/WOS46985Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("terran-ai/WOS46985Bert") model = AutoModelForSequenceClassification.from_pretrained("terran-ai/WOS46985Bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d7d37f6c79b6dc8dd1edba5aa01cf7b7fe29b881dfee14a38435c9395cdefe99
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size 438368872
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