Instructions to use kiddothe2b/hierarchical-transformer-base-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiddothe2b/hierarchical-transformer-base-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kiddothe2b/hierarchical-transformer-base-4096", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("kiddothe2b/hierarchical-transformer-base-4096", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kiddothe2b/hierarchical-transformer-base-4096: direct link, hf CLI and curl.
- Browser
- Download file 766 MB
-
https://huggingface.co/kiddothe2b/hierarchical-transformer-base-4096/resolve/162074d9d014f1ce6dbcccfe3500c3975a3c44cd/pytorch_model.bin
- Command line
-
hf download hf://kiddothe2b/hierarchical-transformer-base-4096@162074d9d014f1ce6dbcccfe3500c3975a3c44cd/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kiddothe2b/hierarchical-transformer-base-4096/resolve/162074d9d014f1ce6dbcccfe3500c3975a3c44cd/pytorch_model.bin
766 MB
- Xet hash:
- 3d939517501f32c28a523836905aa10166cfbf1e7efb263b1620fcc391d5fec9
- Size of remote file:
- 766 MB
- SHA256:
- 0657169a421e844f2d4782f24fb6435199c4445b0f40efdaf363d3750c53dd0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.