Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use responsibility-framing/predict-perception-bert-focus-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use responsibility-framing/predict-perception-bert-focus-concept with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="responsibility-framing/predict-perception-bert-focus-concept")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("responsibility-framing/predict-perception-bert-focus-concept") model = AutoModelForSequenceClassification.from_pretrained("responsibility-framing/predict-perception-bert-focus-concept") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
f5edfb1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:febc5015f8adb7f8da9f8b701a44831582e6f01b45c5d8307a4918aefb32ac58
size 3119
|