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:
- ccbf53f2b16fe60c4449e491ce1d79081218428c0f6f0561a662bd0943a82db2
- Size of remote file:
- 5.43 kB
- SHA256:
- e71dab9ef8d06d4b1e0b1f6a857eda59727e92e0542e8915b6be3c3848614ad6
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