Instructions to use futrx/t5-base-emojilm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use futrx/t5-base-emojilm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("futrx/t5-base-emojilm") model = AutoModelForSeq2SeqLM.from_pretrained("futrx/t5-base-emojilm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from futrx/t5-base-emojilm: direct link, hf CLI and curl.
- Browser
- Download file 2.83 MB
-
https://huggingface.co/futrx/t5-base-emojilm/resolve/main/tokenizer.json
- Command line
-
hf download hf://futrx/t5-base-emojilm/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/futrx/t5-base-emojilm/resolve/main/tokenizer.json
2.83 MB
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