Text Classification
Transformers
PyTorch
TensorBoard
data2vec-text
Generated from Trainer
Eval Results (legacy)
Instructions to use mrm8488/data2vec-text-base-finetuned-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/data2vec-text-base-finetuned-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/data2vec-text-base-finetuned-mrpc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/data2vec-text-base-finetuned-mrpc") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/data2vec-text-base-finetuned-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mrm8488/data2vec-text-base-finetuned-mrpc: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/mrm8488/data2vec-text-base-finetuned-mrpc/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://mrm8488/data2vec-text-base-finetuned-mrpc@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mrm8488/data2vec-text-base-finetuned-mrpc/resolve/refs%2Fpr%2F2/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.