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:
- 8bc6d06a2ca17504d18c342bf0b1e350d1ad3ed503b4d46c03edd949094d5cc6
- Size of remote file:
- 1.52 kB
- SHA256:
- 8c2af54ad16dd5fb93a54759a4e0c70d713144b577261d658294f8c64567dc13
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