Text Classification
Transformers
PyTorch
JAX
ONNX
sentiment-analysis
text-generation
translation
summarization
question-answering
token-classification
image-classification
speech-recognition
audio-classification
bert
gpt-2
t5
roberta
xlm-roberta
distilbert
electra
tensorflow
text
image
audio
multimodal
apache-2.0
few-shot-learning
zero-shot-classification
conversational
fill-mask
Instructions to use obieqewe/vdedwvew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obieqewe/vdedwvew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="obieqewe/vdedwvew") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("obieqewe/vdedwvew", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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