Instructions to use Robertuus/Crypto_Sentiment_Analysis_Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Robertuus/Crypto_Sentiment_Analysis_Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Robertuus/Crypto_Sentiment_Analysis_Bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Robertuus/Crypto_Sentiment_Analysis_Bert") model = AutoModelForSequenceClassification.from_pretrained("Robertuus/Crypto_Sentiment_Analysis_Bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Robertuus/Crypto_Sentiment_Analysis_Bert")
model = AutoModelForSequenceClassification.from_pretrained("Robertuus/Crypto_Sentiment_Analysis_Bert", device_map="auto")Quick Links
- Downloads last month
- 8
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Robertuus/Crypto_Sentiment_Analysis_Bert")