Instructions to use malteos/aspect-acl-scibert-scivocab-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteos/aspect-acl-scibert-scivocab-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malteos/aspect-acl-scibert-scivocab-uncased") model = BertForMultiLabelSequenceClassification.from_pretrained("malteos/aspect-acl-scibert-scivocab-uncased") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
#1
by lbourdois - opened
README.md
CHANGED
|
@@ -2,10 +2,11 @@
|
|
| 2 |
language:
|
| 3 |
- sci
|
| 4 |
- en
|
|
|
|
|
|
|
| 5 |
tags:
|
| 6 |
- classification
|
| 7 |
- similarity
|
| 8 |
-
license: mit
|
| 9 |
datasets:
|
| 10 |
- acl-arc
|
| 11 |
---
|
|
|
|
| 2 |
language:
|
| 3 |
- sci
|
| 4 |
- en
|
| 5 |
+
- multilingual
|
| 6 |
+
license: mit
|
| 7 |
tags:
|
| 8 |
- classification
|
| 9 |
- similarity
|
|
|
|
| 10 |
datasets:
|
| 11 |
- acl-arc
|
| 12 |
---
|