Instructions to use MinervaBotTeam/BloomBERT-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MinervaBotTeam/BloomBERT-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MinervaBotTeam/BloomBERT-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MinervaBotTeam/BloomBERT-1") model = AutoModelForSequenceClassification.from_pretrained("MinervaBotTeam/BloomBERT-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from MinervaBotTeam/BloomBERT-1: direct link, hf CLI and curl.
- Browser
- Download file 111 Bytes
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https://huggingface.co/MinervaBotTeam/BloomBERT-1/resolve/main/README.md
- Command line
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hf download hf://MinervaBotTeam/BloomBERT-1/README.md
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curl -L -o README.md https://huggingface.co/MinervaBotTeam/BloomBERT-1/resolve/main/README.md
111 Bytes
metadata
license: mit
base_model:
- distilbert/distilbert-base-uncased
language:
- en
library_name: transformers