Instructions to use kiddothe2b/hierarchical-transformer-LC1-mini-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiddothe2b/hierarchical-transformer-LC1-mini-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kiddothe2b/hierarchical-transformer-LC1-mini-1024", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("kiddothe2b/hierarchical-transformer-LC1-mini-1024", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bd4b09ef6fd7d842038801d44a8e38076ac2564b4f8a7a404606272a2c7c5e8
- Size of remote file:
- 101 MB
- SHA256:
- 3d2f7e993b62fe65d42fbfda05542fe1100144beb243ef5cbf022de69f3239e0
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