Instructions to use datasciencemmw/old-beta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasciencemmw/old-beta2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="datasciencemmw/old-beta2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("datasciencemmw/old-beta2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| tags: | |||
| - autotrain | |||
| - text-classification | |||
| language: | |||
| - en | |||
| widget: | |||
| - text: "I love AutoTrain 🤗" | |||
| datasets: | |||
| - LiveEvil/autotrain-data-copuml-la-beta-demo | |||
| co2_eq_emissions: | |||
| emissions: 1.2815143214785873 | |||
| # Model Trained Using AutoTrain | |||
| - Problem type: Multi-class Classification | |||
| - Model ID: 2205770755 | |||
| - CO2 Emissions (in grams): 1.2815 | |||
| ## Validation Metrics | |||
| - Loss: 1.085 | |||
| - Accuracy: 0.747 | |||
| - Macro F1: 0.513 | |||
| - Micro F1: 0.747 | |||
| - Weighted F1: 0.715 | |||
| - Macro Precision: 0.533 | |||
| - Micro Precision: 0.747 | |||
| - Weighted Precision: 0.691 | |||
| - Macro Recall: 0.515 | |||
| - Micro Recall: 0.747 | |||
| - Weighted Recall: 0.747 | |||
| ## Usage | |||
| You can use cURL to access this model: | |||
| ``` | |||
| $ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' /static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2FLiveEvil%2Fautotrain-copuml-la-beta-demo-2205770755%3C%2Fspan%3E%3C!----%3E%3C%2Ftd%3E%3C%2Ftr%3E%3Ctr id="L42"> | ``` | ||
| Or Python API: | |||
| ``` | |||
| from transformers import AutoModelForSequenceClassification, AutoTokenizer | |||
| model = AutoModelForSequenceClassification.from_pretrained("LiveEvil/autotrain-copuml-la-beta-demo-2205770755", use_auth_token=True) | |||
| tokenizer = AutoTokenizer.from_pretrained("LiveEvil/autotrain-copuml-la-beta-demo-2205770755", use_auth_token=True) | |||
| inputs = tokenizer("I love AutoTrain", return_tensors="pt") | |||
| outputs = model(**inputs) | |||
| ``` |