Instructions to use Jayveersinh-Raj/mixed_lang_context_hatespeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jayveersinh-Raj/mixed_lang_context_hatespeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jayveersinh-Raj/mixed_lang_context_hatespeech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jayveersinh-Raj/mixed_lang_context_hatespeech") model = AutoModelForSequenceClassification.from_pretrained("Jayveersinh-Raj/mixed_lang_context_hatespeech") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64c6ad3a33f07a77e071efb71ec3db4d49d254d3ab1c6244a1595d3ee1bfa34b
|
| 3 |
+
size 1112205008
|