Text Classification
Transformers
PyTorch
TensorFlow
English
distilbert
exbert
text-embeddings-inference
Instructions to use CK42/sentiment_analysis_sbcBI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CK42/sentiment_analysis_sbcBI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CK42/sentiment_analysis_sbcBI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CK42/sentiment_analysis_sbcBI") model = AutoModelForSequenceClassification.from_pretrained("CK42/sentiment_analysis_sbcBI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload special_tokens_map.json
Browse files- special_tokens_map.json +1 -0
special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|