Instructions to use User00121/Essay-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use User00121/Essay-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="User00121/Essay-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("User00121/Essay-analysis") model = AutoModelForSequenceClassification.from_pretrained("User00121/Essay-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from User00121/Essay-analysis: direct link, hf CLI and curl.
- Browser
- Download file 191 Bytes
-
https://huggingface.co/User00121/Essay-analysis/resolve/main/README.md
- Command line
-
hf download hf://User00121/Essay-analysis/README.md
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curl -L -o README.md https://huggingface.co/User00121/Essay-analysis/resolve/main/README.md
191 Bytes
metadata
license: apache-2.0
language:
- en
metrics:
- accuracy
- f1
base_model:
- distilbert/distilbert-base-uncased
pipeline_tag: text-classification
library_name: transformers
tags:
- agent