Instructions to use mrapacz/interlinear-pl-mt5-base-t-w-t-normalized-bh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-pl-mt5-base-t-w-t-normalized-bh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-pl-mt5-base-t-w-t-normalized-bh") model = AutoModelForSeq2SeqLM.from_pretrained("mrapacz/interlinear-pl-mt5-base-t-w-t-normalized-bh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mrapacz/interlinear-pl-mt5-base-t-w-t-normalized-bh: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/mrapacz/interlinear-pl-mt5-base-t-w-t-normalized-bh/resolve/main/tokenizer.json
- Command line
-
hf download hf://mrapacz/interlinear-pl-mt5-base-t-w-t-normalized-bh/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mrapacz/interlinear-pl-mt5-base-t-w-t-normalized-bh/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 574f364f3e4226efb7e3893fc3709ec0a46f36e8f0ff7f2a6c2f7d62f6dcfedb
- Size of remote file:
- 16.3 MB
- SHA256:
- 3177a3143849c3ea44b46cfd1cc08d456c5a9a21e68d0d7d9c09d5802bbcd973
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