Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Sandrro/text_to_subfunction_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandrro/text_to_subfunction_v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sandrro/text_to_subfunction_v7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sandrro/text_to_subfunction_v7") model = AutoModelForSequenceClassification.from_pretrained("Sandrro/text_to_subfunction_v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sandrro/text_to_subfunction_v7: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Sandrro/text_to_subfunction_v7/resolve/main/training_args.bin
- Command line
-
hf download hf://Sandrro/text_to_subfunction_v7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sandrro/text_to_subfunction_v7/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 4d6e55b591b4a1111446dd14ea12abf7d746ef2ce0667368d1f3c2a2f0fcb71e
- Size of remote file:
- 3.64 kB
- SHA256:
- 33e667b8e2e1babbe147562da9a245877af71c0b693e91d1f57acbe869ec2d9a
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