Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use kugler/xlmr-large-AmDi-synset-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kugler/xlmr-large-AmDi-synset-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kugler/xlmr-large-AmDi-synset-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kugler/xlmr-large-AmDi-synset-classifier") model = AutoModelForSequenceClassification.from_pretrained("kugler/xlmr-large-AmDi-synset-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kugler/xlmr-large-AmDi-synset-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/kugler/xlmr-large-AmDi-synset-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://kugler/xlmr-large-AmDi-synset-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kugler/xlmr-large-AmDi-synset-classifier/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 2ed397005efdade659fa405ec8bf04384b585737723e807526a0a0c27c334055
- Size of remote file:
- 5.11 kB
- SHA256:
- 30bc1dcaaf105b32463f65edb8287ecf2ca10133772dc0cd3f0768ea322c6ab4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.