Instructions to use Transducens/xlm-roberta-base-url2lang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transducens/xlm-roberta-base-url2lang with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Transducens/xlm-roberta-base-url2lang")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Transducens/xlm-roberta-base-url2lang") model = AutoModelForSequenceClassification.from_pretrained("Transducens/xlm-roberta-base-url2lang", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a73b40e9732b4c30c8f3dfe8f1aaabfc89320c676d152d6db28632c96e4119a7
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size 1115063944
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