Text Classification
Transformers
Safetensors
Spanish
roberta
nli
spanish
causal
esnlir
text-embeddings-inference
Instructions to use Flaglab/ESNLIR-RoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Flaglab/ESNLIR-RoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Flaglab/ESNLIR-RoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Flaglab/ESNLIR-RoBERTa") model = AutoModelForSequenceClassification.from_pretrained("Flaglab/ESNLIR-RoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ESNLIR-RoBERTa test metrics
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metrics.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:e90b32247ce86de99f6cdad2cd4c8c5fd59e71e69f72320aac2d712d5b044320
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size 1262596
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