Instructions to use ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli") model = AutoModelForSequenceClassification.from_pretrained("ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli") - Inference
- Notebooks
- Google Colab
- Kaggle
get sentence embedding
#3 opened 12 months ago
by
amderakhshan
Librarian Bot: Update Hugging Face dataset ID
#2 opened about 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot