Instructions to use sofom/bert-base-uncased-hyperparam-lr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/bert-base-uncased-hyperparam-lr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/bert-base-uncased-hyperparam-lr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/bert-base-uncased-hyperparam-lr") model = AutoModel.from_pretrained("sofom/bert-base-uncased-hyperparam-lr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from sofom/bert-base-uncased-hyperparam-lr: direct link, hf CLI and curl.
- Browser
- Download file 219 MB
-
https://huggingface.co/sofom/bert-base-uncased-hyperparam-lr/resolve/main/model.safetensors
- Command line
-
hf download hf://sofom/bert-base-uncased-hyperparam-lr/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/sofom/bert-base-uncased-hyperparam-lr/resolve/main/model.safetensors
219 MB
- Xet hash:
- 4aa9c6ab646552ee3aaa79cbd7c1f129bd07687f599273ea52a0e3fa61f02ec3
- Size of remote file:
- 219 MB
- SHA256:
- 9ba31323f26844e9f5e55b9e4b1dd8495e68ad08777be975c187ee5fec6afe53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.