Text Classification
Transformers
PyTorch
Safetensors
English
bert
psychology
cognitive distortions
text-embeddings-inference
Instructions to use amedvedev/bert-tiny-cognitive-bias with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amedvedev/bert-tiny-cognitive-bias with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amedvedev/bert-tiny-cognitive-bias")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amedvedev/bert-tiny-cognitive-bias") model = AutoModelForSequenceClassification.from_pretrained("amedvedev/bert-tiny-cognitive-bias") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd70bfce1c10689db4935655f52cc45fa8f4ba80621ed9fdabf97a655f4cbeb2
|
| 3 |
+
size 17556592
|