Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use henryscheible/eval_mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/eval_mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/eval_mrpc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/eval_mrpc") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/eval_mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from henryscheible/eval_mrpc: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/henryscheible/eval_mrpc/resolve/main/training_args.bin
- Command line
-
hf download hf://henryscheible/eval_mrpc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/henryscheible/eval_mrpc/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- cfcd1d7bba9a3535866cd47c48a3797523fdb858ec0b8f9e10b911297b90ef0d
- Size of remote file:
- 3.38 kB
- SHA256:
- cff41b8d6e7d8148744a389e51b29028a6dfb10224bafd3a2579fe1296de6f61
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