Downloads · 30 days
34
2% of all-time downloads
AntoineBlanot/roberta-nli
roberta-nli is a zero-shot classification model from AntoineBlanot. Use it when you need labels you did not train the model on. It is set up for transformers.
This model is a fine-tuned model of roberta-large after being trained on a mixture of NLI datasets.
Downloads · 30 days
34
2% of all-time downloads
All-time downloads
1.7K
Public
Repo size
2.8 GB
Likes
0
Public
Click a slice to open those files.
.bin1.4 GB · 100%
From the Hugging Face model README
This model is a fine-tuned model of roberta-large after being trained on a mixture of NLI datasets.
This model can classify a pair of sentence (a <u>premise</u> and a <u>claim</u>) into 3 classes:
This model can also be used for zero-shot classification tasks ! Please take a look at this repo for more information on zero-shot classification tasks.
This model has been trained in an efficient way and thus cannot be load directly from HuggingFace's hub. To use that model, please follow instructions on this repo.
For zero-shot classification tasks, please take a look at this repo.
| Data | Accuracy |
|---|---|
| MNLI (val. m) | 0.894 |
| MNLI (val. mm) | 0.895 |
| SNLI (val.) | 0.920 |
| SciTail (val.) | 0.934 |