Instructions to use research-backup/t5-base-analogy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/t5-base-analogy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("research-backup/t5-base-analogy") model = AutoModelForSeq2SeqLM.from_pretrained("research-backup/t5-base-analogy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download validation_accuracy.json from research-backup/t5-base-analogy: direct link, hf CLI and curl.
- Browser
- Download file 111 Bytes
-
https://huggingface.co/research-backup/t5-base-analogy/resolve/main/validation_accuracy.json
- Command line
-
hf download hf://research-backup/t5-base-analogy/validation_accuracy.json
-
curl -L -o validation_accuracy.json https://huggingface.co/research-backup/t5-base-analogy/resolve/main/validation_accuracy.json
111 Bytes
| {"accuracy": 0.6582278481012658, "dataset": "relbert/semeval2012_relational_similarity", "split": "validation"} |