Instructions to use vonewman/my_text_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vonewman/my_text_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vonewman/my_text_classification_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vonewman/my_text_classification_model") model = AutoModelForSequenceClassification.from_pretrained("vonewman/my_text_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vonewman/my_text_classification_model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/vonewman/my_text_classification_model/resolve/main/training_args.bin
- Command line
-
hf download hf://vonewman/my_text_classification_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vonewman/my_text_classification_model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 0194c4a15a42f994ad6a2e29b11c0cf0c38c7e549458e1530a061f341086dfc4
- Size of remote file:
- 4.6 kB
- SHA256:
- 2f945122512ba1ed6f15f2a256f558f9e24a5f960193cd886673794e56bc8657
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