Instructions to use liamliang/hate_speech_content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liamliang/hate_speech_content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liamliang/hate_speech_content")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("liamliang/hate_speech_content") model = AutoModelForSequenceClassification.from_pretrained("liamliang/hate_speech_content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
1dc3ab4
1
Parent(s): 17e7c84
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:46292d4f7b3528d82dd9ae6cd765d86e91e2771459272480e7b61814badea026
|
| 3 |
+
size 437951556
|