Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use kugler/xlmr-large-AmDi-synset-classifier-marked 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-marked 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-marked")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kugler/xlmr-large-AmDi-synset-classifier-marked") model = AutoModelForSequenceClassification.from_pretrained("kugler/xlmr-large-AmDi-synset-classifier-marked", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f74b2a9460ce6515544e3da719261cbdcbd8ba21edc68a2a656aa78d957f4918
- Size of remote file:
- 2.24 GB
- SHA256:
- b17d0839fa7365b2316d6d332957ff60c90a1803860c209f5a067705d943dd82
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