Instructions to use finding-fossils/metaextractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finding-fossils/metaextractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="finding-fossils/metaextractor")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("finding-fossils/metaextractor") model = AutoModelForTokenClassification.from_pretrained("finding-fossils/metaextractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download python_env.yaml from finding-fossils/metaextractor: direct link, hf CLI and curl.
- Browser
- Download file 123 Bytes
-
https://huggingface.co/finding-fossils/metaextractor/resolve/refs%2Fpr%2F1/python_env.yaml
- Command line
-
hf download hf://finding-fossils/metaextractor@refs/pr/1/python_env.yaml
-
curl -L -o python_env.yaml https://huggingface.co/finding-fossils/metaextractor/resolve/refs%2Fpr%2F1/python_env.yaml
123 Bytes
| python: 3.10.11 | |
| build_dependencies: | |
| - pip==23.1.2 | |
| - setuptools==67.7.2 | |
| - wheel==0.40.0 | |
| dependencies: | |
| - -r requirements.txt | |