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")# 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
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# Model Card for fvossel/t5-base-
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This model is a fully fine-tuned version of [`google-t5/t5-base`](https://huggingface.co/google-t5/t5-base). It was trained to translate **natural language statements into First-Order Logic (FOL)** representations.
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# Model Card for fvossel/t5-base-groves
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This model is a fully fine-tuned version of [`google-t5/t5-base`](https://huggingface.co/google-t5/t5-base). It was trained to translate **natural language statements into First-Order Logic (FOL)** representations.
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