Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use arad1367/crypto_sustainability_news_FacebookAI_roberta-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arad1367/crypto_sustainability_news_FacebookAI_roberta-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arad1367/crypto_sustainability_news_FacebookAI_roberta-large-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arad1367/crypto_sustainability_news_FacebookAI_roberta-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("arad1367/crypto_sustainability_news_FacebookAI_roberta-large-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 473f9eef382db946fce9091e1adffae2c28b28aab0458b07c83e79e521576535
- Size of remote file:
- 1.42 GB
- SHA256:
- 884af5b079088dda0c7ae79210c57fea34a9fcf09dcce120305dec57f8d94747
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