Text Classification
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
roberta
autogenerated-modelcard
text-embeddings-inference
Instructions to use FacebookAI/roberta-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/roberta-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FacebookAI/roberta-large-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("FacebookAI/roberta-large-mnli") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
130fb28
1
Parent(s): 08b2672
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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oid sha256:3268be4442922e0996ec369490b00b70ce419c678f1bf5f3f8b8f290b677bd7f
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size 1421465327
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