Instructions to use HiTZ/xlm-roberta-large-lemma-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/xlm-roberta-large-lemma-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/xlm-roberta-large-lemma-es")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/xlm-roberta-large-lemma-es") model = AutoModelForTokenClassification.from_pretrained("HiTZ/xlm-roberta-large-lemma-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4267c908c976ce43b5f32f7c0ba719e4db5e279dd5e32098fd5c1c43ddf171d4
- Size of remote file:
- 3.83 kB
- SHA256:
- c87232ed0e7c8494b8f9fa76ed2a5797df3debe277f89cc496a4a28e9ce0d74c
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