Instructions to use lapp0/kbert_trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lapp0/kbert_trial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lapp0/kbert_trial")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("lapp0/kbert_trial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from lapp0/kbert_trial: direct link, hf CLI and curl.
- Browser
- Download file 382 MB
-
https://huggingface.co/lapp0/kbert_trial/resolve/main/model.safetensors
- Command line
-
hf download hf://lapp0/kbert_trial/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/lapp0/kbert_trial/resolve/main/model.safetensors
382 MB
- Xet hash:
- f82b382bbe184592a19ca3a294267c1b6d39dd004b49282fc06bb0f70c23fea6
- Size of remote file:
- 382 MB
- SHA256:
- 9ab82b2e043265e4d1441f7b63a59988f7c081d5a73345b0bd0d3928be60fd2c
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