Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use orpe42/deberta_MP_dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orpe42/deberta_MP_dynamic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orpe42/deberta_MP_dynamic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orpe42/deberta_MP_dynamic") model = AutoModelForSequenceClassification.from_pretrained("orpe42/deberta_MP_dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download current_best/trainer_state.json from orpe42/deberta_MP_dynamic: direct link, hf CLI and curl.
- Browser
- Download file 118 kB
-
https://huggingface.co/orpe42/deberta_MP_dynamic/resolve/main/current_best/trainer_state.json
- Command line
-
hf download hf://orpe42/deberta_MP_dynamic/current_best/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/orpe42/deberta_MP_dynamic/resolve/main/current_best/trainer_state.json
118 kB
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