Fill-Mask
Transformers
Safetensors
English
lr_attnres_bert
custom_code
bert
masked-lm
attention-residuals
lr-attnres
Instructions to use RikkaBotan/LR-AttnRes-BERT-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RikkaBotan/LR-AttnRes-BERT-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="RikkaBotan/LR-AttnRes-BERT-tiny", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("RikkaBotan/LR-AttnRes-BERT-tiny", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from RikkaBotan/LR-AttnRes-BERT-tiny: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/RikkaBotan/LR-AttnRes-BERT-tiny/resolve/main/tokenizer.json
- Command line
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hf download hf://RikkaBotan/LR-AttnRes-BERT-tiny/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/RikkaBotan/LR-AttnRes-BERT-tiny/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.