Instructions to use dolgae03/bert_lens_latefusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dolgae03/bert_lens_latefusion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dolgae03/bert_lens_latefusion")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dolgae03/bert_lens_latefusion") model = AutoModel.from_pretrained("dolgae03/bert_lens_latefusion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70d82722d854071e4586d62cc544c7ef5d2dcd449b81424e836fd828ede23c2f
- Size of remote file:
- 735 MB
- SHA256:
- 1b80916d8211786d145dba09b2877853d1b89574382b650f914749c233283805
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