Instructions to use HiTZ/xlm-roberta-large-lemma-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/xlm-roberta-large-lemma-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/xlm-roberta-large-lemma-pl")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/xlm-roberta-large-lemma-pl") model = AutoModelForTokenClassification.from_pretrained("HiTZ/xlm-roberta-large-lemma-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
1f653d2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f369b4cfdf72545d68dd84bdc1a5390959d1c40b4795e70f4752891c0da86a4d
size 2239394026
|