Instructions to use IMSyPP/hate_speech_it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMSyPP/hate_speech_it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMSyPP/hate_speech_it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMSyPP/hate_speech_it") model = AutoModelForSequenceClassification.from_pretrained("IMSyPP/hate_speech_it") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse filesneeded to add "model_type": "bert", for onnx conversion
- config.json +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"model_type": "bert",
|
| 3 |
"attention_probs_dropout_prob": 0.1,
|
| 4 |
"directionality": "bidi",
|
| 5 |
"finetuning_task": null,
|
|
|
|
| 1 |
{
|
| 2 |
+
"model_type": "bert",
|
| 3 |
"attention_probs_dropout_prob": 0.1,
|
| 4 |
"directionality": "bidi",
|
| 5 |
"finetuning_task": null,
|