Text Classification
Transformers
Safetensors
English
bert
coping
emotions
microaggressions
text-embeddings-inference
Instructions to use coping-emotions/bert-coping-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coping-emotions/bert-coping-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coping-emotions/bert-coping-full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coping-emotions/bert-coping-full") model = AutoModelForSequenceClassification.from_pretrained("coping-emotions/bert-coping-full") - Notebooks
- Google Colab
- Kaggle
Upload 3 files
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"do_lower_case": true, "model_max_length": 512}
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|