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:
- b545033d48b30f857f17a691e5a8a72c80755bd54a061ef64e6a90071710f7b8
- Size of remote file:
- 712 MB
- SHA256:
- c765784d05c36cd45d6250864c2d48531310c2473477e697512a1cdd1f629b90
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