Instructions to use ChrisZeng/twitter-roberta-base-efl-hateval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChrisZeng/twitter-roberta-base-efl-hateval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChrisZeng/twitter-roberta-base-efl-hateval")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ChrisZeng/twitter-roberta-base-efl-hateval") model = AutoModelForSequenceClassification.from_pretrained("ChrisZeng/twitter-roberta-base-efl-hateval") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- training_args.bin +1 -1
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3119
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c49150b19aab7f3a2f58aca60ab69da76f02f6f3f5da7365c637afee67213d2
|
| 3 |
size 3119
|