Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use aomar85/M11_group_without_unique with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aomar85/M11_group_without_unique with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aomar85/M11_group_without_unique")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aomar85/M11_group_without_unique") model = AutoModelForSequenceClassification.from_pretrained("aomar85/M11_group_without_unique", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aomar85/M11_group_without_unique: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/aomar85/M11_group_without_unique/resolve/main/training_args.bin
- Command line
-
hf download hf://aomar85/M11_group_without_unique/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aomar85/M11_group_without_unique/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- 22c60af19a6408c9627ee01247f17b23d50a27aac93eae7402894a8b1c65f6a4
- Size of remote file:
- 3.31 kB
- SHA256:
- bcfe044d9d020a56f4cd0e3e4fb33a713deab47f29d56687dbbb775a4fe8a38d
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