Text Classification
Transformers
PyTorch
TensorBoard
data2vec-text
Generated from Trainer
Eval Results (legacy)
Instructions to use mrm8488/data2vec-text-base-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/data2vec-text-base-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/data2vec-text-base-finetuned-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/data2vec-text-base-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/data2vec-text-base-finetuned-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mrm8488/data2vec-text-base-finetuned-mnli: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/mrm8488/data2vec-text-base-finetuned-mnli/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mrm8488/data2vec-text-base-finetuned-mnli/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mrm8488/data2vec-text-base-finetuned-mnli/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 74cff62e95374244970c6dab8a4cb2da36e57032e61666aa35c327b0664804ad
- Size of remote file:
- 499 MB
- SHA256:
- da2b6f5702443a074a599c26e7260f065ea60427db83c18951c8f3a9a2a9f239
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