Instructions to use FacebookAI/xlm-roberta-large-finetuned-conll03-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-roberta-large-finetuned-conll03-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="FacebookAI/xlm-roberta-large-finetuned-conll03-german")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-roberta-large-finetuned-conll03-german") model = AutoModelForTokenClassification.from_pretrained("FacebookAI/xlm-roberta-large-finetuned-conll03-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df2a0b2acc8fb5b2c42b760eedaf27fc73822fac30322b694446288cb079b01b
- Size of remote file:
- 2.24 GB
- SHA256:
- 69a266ab2f57b281e9822f8f646aaec3108c00f3b5dde6fce19d6940ac3060ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.