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:
- de94647d9bdb532f55f9b45dce93c4caf05f20e9a1a53442a9b90692c1c112b4
- Size of remote file:
- 5.91 kB
- SHA256:
- 2ebe88013ae4157ba3ef671f23c61e26f51c856f97d31a97fb7c71b08af9cf6f
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