Token Classification
Transformers
PyTorch
JAX
Safetensors
Spanish
English
multilingual
bert
codeswitching
spanish-english
ner
Instructions to use sagorsarker/codeswitch-spaeng-ner-lince with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagorsarker/codeswitch-spaeng-ner-lince with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sagorsarker/codeswitch-spaeng-ner-lince")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-spaeng-ner-lince") model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-spaeng-ner-lince", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d83745b141c52243882c7586e7982d8e9496fc4a277897a2e5fd393c253c2838
- Size of remote file:
- 709 MB
- SHA256:
- 7d07c25ffb3bda305cfd943b302a63802785412262866d26d6376dcd8128b0c2
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