Translation
Transformers
Safetensors
English
t5
text2text-generation
NLTOFOL
NL
FOL
semantic-parsing
first-order-logic
formal-logic
compositional-generalization
text-generation-inference
Instructions to use fvossel/t5-base-groves with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fvossel/t5-base-groves with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="fvossel/t5-base-groves")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fvossel/t5-base-groves") model = AutoModelForSeq2SeqLM.from_pretrained("fvossel/t5-base-groves", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fvossel/t5-base-groves: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/fvossel/t5-base-groves/resolve/main/tokenizer.json
- Command line
-
hf download hf://fvossel/t5-base-groves/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fvossel/t5-base-groves/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.