Instructions to use alvarodt/geocoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvarodt/geocoding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alvarodt/geocoding")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alvarodt/geocoding") model = AutoModel.from_pretrained("alvarodt/geocoding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
2c1939b -
Upload tokenizer
04ce302 -
Upload tokenizer
1c4f6e3 -
Upload DistilBertForMaskedLM
9808a14 -
Training in progress, step 7000
f10689e -
Training in progress, step 6500
69d25e5 -
Training in progress, step 6000
b991ad4 -
Training in progress, step 5500
2b88899 -
Training in progress, step 5000
de46e4f -
Training in progress, step 4500
32021ba -
Training in progress, step 4000
2de507e -
Training in progress, step 3500
c598bc2 -
Training in progress, step 3000
70f688e -
Training in progress, step 2000
5c13558 -
Training in progress, step 1000
a835177 -
Training in progress, step 500
7df7e19 -
Training in progress, step 500
ec6e3bc -
Training in progress, step 500
f0a0fda
-
Upload tokenizer
3976d9f -
Upload tokenizer
a1fce5f
-
Upload config
b8311bd -
Upload tokenizer
0b4c608 -
Upload model
94fc1b3
-
Upload model
df960ca -
Upload config
8b2c3b8 -
Upload tokenizer
78d3a2b
-
Upload config
6d5a625 -
Upload tokenizer
55ab3c6 -
Upload model
f81d25a -
Upload config
4e85bb8 -
Upload tokenizer
77ca40d -
Upload model
4106fb6 -
Upload model
fc7c1a9 -
Upload tokenizer
1e02e98 -
Upload config
9446c43 -
initial commit
9365903