Instructions to use llmware/industry-bert-sec-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llmware/industry-bert-sec-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="llmware/industry-bert-sec-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("llmware/industry-bert-sec-v0.1") model = AutoModel.from_pretrained("llmware/industry-bert-sec-v0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdec265d020f24c2377f6dfdbe05d48b8b035523a57bc595dd588529321f9e0a
- Size of remote file:
- 438 MB
- SHA256:
- a9e8f6a4cf3ec548c258b2718ba53be1f1e396749ea5b0db2402303c0d78edf1
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