Instructions to use macedonizer/al-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use macedonizer/al-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="macedonizer/al-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("macedonizer/al-roberta-base") model = AutoModelForMaskedLM.from_pretrained("macedonizer/al-roberta-base") - Notebooks
- Google Colab
- Kaggle
Update README.md
#1
by lbourdois - opened
README.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
-
-
|
| 4 |
thumbnail: https://huggingface.co/macedonizer/al-roberta-base/lets-talk-about-nlp-al.jpg
|
| 5 |
tags:
|
| 6 |
- masked-lm
|
|
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
+
- sq
|
| 4 |
thumbnail: https://huggingface.co/macedonizer/al-roberta-base/lets-talk-about-nlp-al.jpg
|
| 5 |
tags:
|
| 6 |
- masked-lm
|