Instructions to use llmware/industry-bert-asset-management-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llmware/industry-bert-asset-management-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="llmware/industry-bert-asset-management-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("llmware/industry-bert-asset-management-v0.1") model = AutoModel.from_pretrained("llmware/industry-bert-asset-management-v0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aee5abd609141d0d13581ee94abbdf006527c4e7749073e09c18d79618304768
- Size of remote file:
- 438 MB
- SHA256:
- 2ea04749cfe2f5ac158a16f2c0a307f76b7206152489788e175a95c634700ab3
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