Text Classification
Transformers
PyTorch
Safetensors
Croatian
bert
hate-speech
text-embeddings-inference
Instructions to use classla/bcms-bertic-frenk-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/bcms-bertic-frenk-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="classla/bcms-bertic-frenk-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("classla/bcms-bertic-frenk-hate") model = AutoModelForSequenceClassification.from_pretrained("classla/bcms-bertic-frenk-hate") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin with git-lfs
Browse files- training_args.bin +3 -0
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45a411b5f1c1ae088b72b57e6f99ee7c3a46cab0eb827da7931e19476b56cb9d
|
| 3 |
+
size 3183
|