Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
deberta-v2
Generated from Trainer
nlu
intent-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use cartesinus/mdeberta-v3-base_amazon-massive_intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cartesinus/mdeberta-v3-base_amazon-massive_intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cartesinus/mdeberta-v3-base_amazon-massive_intent")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cartesinus/mdeberta-v3-base_amazon-massive_intent") model = AutoModelForSequenceClassification.from_pretrained("cartesinus/mdeberta-v3-base_amazon-massive_intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cartesinus/mdeberta-v3-base_amazon-massive_intent: direct link, hf CLI and curl.
- Browser
- Download file 1.12 GB
-
https://huggingface.co/cartesinus/mdeberta-v3-base_amazon-massive_intent/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cartesinus/mdeberta-v3-base_amazon-massive_intent/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cartesinus/mdeberta-v3-base_amazon-massive_intent/resolve/main/pytorch_model.bin
1.12 GB
- Xet hash:
- d28d3012d83131bf57dcd802d256c8e75d265d6c19c5906ebcdf9b1723adea85
- Size of remote file:
- 1.12 GB
- SHA256:
- dddee087e9552cb6a8197efd9d86f3a69a48f3d5a35067661b9f5ceb90346c63
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.