Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use RogerB/afro-xlmr-large-kin-sent1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RogerB/afro-xlmr-large-kin-sent1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RogerB/afro-xlmr-large-kin-sent1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RogerB/afro-xlmr-large-kin-sent1") model = AutoModelForSequenceClassification.from_pretrained("RogerB/afro-xlmr-large-kin-sent1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be09902e3343f7287170e905a65b4daec80964dbbb002218fd000c20d38e9ccd
- Size of remote file:
- 17.1 MB
- SHA256:
- 58793ef39055f8a0cc52fd1ab1fb8c242714bdd2042e9e3039a158dc35b29d17
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