Text Classification
Transformers
PyTorch
Safetensors
Slovenian
camembert
hate-speech
text-embeddings-inference
Instructions to use classla/sloberta-frenk-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/sloberta-frenk-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="classla/sloberta-frenk-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("classla/sloberta-frenk-hate") model = AutoModelForSequenceClassification.from_pretrained("classla/sloberta-frenk-hate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload sentencepiece.bpe.model with git-lfs
Browse files- sentencepiece.bpe.model +3 -0
sentencepiece.bpe.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34b589385a2320549143ab23b0ccf82cc99a82685701cdabe0fad847bd0479ff
|
| 3 |
+
size 800013
|