Instructions to use mideind/IceBERT-ic3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mideind/IceBERT-ic3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mideind/IceBERT-ic3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mideind/IceBERT-ic3") model = AutoModelForMaskedLM.from_pretrained("mideind/IceBERT-ic3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ tags:
|
|
| 9 |
- icelandic
|
| 10 |
- masked-lm
|
| 11 |
- pytorch
|
| 12 |
-
license:
|
| 13 |
---
|
| 14 |
|
| 15 |
# IceBERT-ic3
|
|
@@ -46,4 +46,4 @@ The model is described in this paper [https://arxiv.org/abs/2201.05601](https://
|
|
| 46 |
biburl = {https://dblp.org/rec/journals/corr/abs-2201-05601.bib},
|
| 47 |
bibsource = {dblp computer science bibliography, https://dblp.org}
|
| 48 |
}
|
| 49 |
-
```
|
|
|
|
| 9 |
- icelandic
|
| 10 |
- masked-lm
|
| 11 |
- pytorch
|
| 12 |
+
license: cc-by-4.0
|
| 13 |
---
|
| 14 |
|
| 15 |
# IceBERT-ic3
|
|
|
|
| 46 |
biburl = {https://dblp.org/rec/journals/corr/abs-2201-05601.bib},
|
| 47 |
bibsource = {dblp computer science bibliography, https://dblp.org}
|
| 48 |
}
|
| 49 |
+
```
|