Instructions to use Vrushali/model_abv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrushali/model_abv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Vrushali/model_abv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Vrushali/model_abv") model = AutoModelForTokenClassification.from_pretrained("Vrushali/model_abv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.9d5336c
-
Training in progress, epoch 30
0dd806a -
Training in progress, epoch 29
680d6dd -
Training in progress, epoch 28
27430b9 -
Training in progress, epoch 27
5aee707 -
Training in progress, epoch 26
8ef5e6c -
Training in progress, epoch 25
6ea9148 -
Training in progress, epoch 24
e230930 -
Training in progress, epoch 23
0220724 -
Training in progress, epoch 22
3e0fa38 -
Training in progress, epoch 21
b75b4e0 -
Training in progress, epoch 20
d0b700f -
Training in progress, epoch 19
55724e3 -
Training in progress, epoch 18
eba56e0 -
Training in progress, epoch 17
b76e4ff -
Training in progress, epoch 16
85ab136 -
Training in progress, epoch 15
e9f1987 -
Training in progress, epoch 14
8c9cb6e -
Training in progress, epoch 13
f18dbfd -
Training in progress, epoch 12
c788aa7 -
Training in progress, epoch 11
12161b7 -
Training in progress, epoch 10
5470f04 -
Training in progress, epoch 9
aeb7fda -
Training in progress, epoch 8
980f9e5 -
Training in progress, epoch 7
4c00e7f -
Training in progress, epoch 6
2541c0e -
Training in progress, epoch 5
634f05b -
Training in progress, epoch 4
8a259bd -
Training in progress, epoch 3
00fcd83 -
Training in progress, epoch 2
e315145 -
Training in progress, epoch 1
774bcb1 -
Training in progress, epoch 30
d15b604 -
Training in progress, epoch 29
fe33bb0 -
Training in progress, epoch 28
60c46af -
Training in progress, epoch 27
3ccb36b -
Training in progress, epoch 26
b408bb1 -
Training in progress, epoch 25
88d15a5 -
Training in progress, epoch 24
8fdeca2 -
Training in progress, epoch 23
f519d65 -
Training in progress, epoch 22
3722821 -
Training in progress, epoch 21
7836fe9 -
Training in progress, epoch 20
42f852b -
Training in progress, epoch 19
750eff8 -
Training in progress, epoch 18
7dcd40a -
Training in progress, epoch 17
cc6a250 -
Training in progress, epoch 16
9be5ea6 -
Training in progress, epoch 15
db1c4c9 -
Training in progress, epoch 14
4b816e3 -
Training in progress, epoch 13
9cfc621 -
Training in progress, epoch 12
ffdd5fb