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:
- 9682e65c9743a0ab44e4f141cbc1cbd09c0200b7535d525e40a6945444b349ec
- Size of remote file:
- 2.23 GB
- SHA256:
- b2a27a7810a2f80d37cab408441be5e4d74d17281475138f81d5d4a55d9d0a52
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