Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use 14kwonss/afrolid_mega with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 14kwonss/afrolid_mega with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="14kwonss/afrolid_mega")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("14kwonss/afrolid_mega") model = AutoModelForSequenceClassification.from_pretrained("14kwonss/afrolid_mega") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ed7790223885415aaf928e51fbc0cf1b19757137f70d78a23ccdb07d3fca46f
- Size of remote file:
- 34.1 MB
- SHA256:
- bfd64a4b8fd1dfb4c67288b563552a85d89417180fe0439e3bb56064c7d1b4a1
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