Instructions to use damapika/roberta-base_mod_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damapika/roberta-base_mod_squad with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="damapika/roberta-base_mod_squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("damapika/roberta-base_mod_squad") model = AutoModelForQuestionAnswering.from_pretrained("damapika/roberta-base_mod_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This 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.c5b40e9
-
update model card README.md
e9d04f5 -
End of training
cea1e0c -
Training in progress, step 32500
42c76d4 -
Training in progress, step 32000
29d2894 -
Training in progress, step 31500
389474f -
Training in progress, step 31000
ab9189c -
Training in progress, step 30500
0fc1377 -
Training in progress, step 30000
5358504 -
Training in progress, step 29500
229d5dc -
Training in progress, step 29000
d5b6760 -
Training in progress, step 28500
11ea055 -
Training in progress, step 28000
d769150 -
Training in progress, step 27500
4177285 -
Training in progress, step 27000
668a8b0 -
Training in progress, step 26500
9b65704 -
Training in progress, step 26000
150b207 -
Training in progress, step 25500
311b765 -
Training in progress, step 25000
d10b10e -
Training in progress, step 24500
02e3c6e -
Training in progress, step 24000
f40782a -
Training in progress, step 23500
9ea65c5 -
Training in progress, step 23000
0ddbd25
-
Training in progress, step 22500
9e7019f -
Training in progress, step 22000
b019a12 -
Training in progress, step 21500
946cc84 -
Training in progress, step 21000
a7335f4 -
Training in progress, step 20500
e40c4fb -
Training in progress, step 20000
3fd5a78 -
Training in progress, step 19500
d807884 -
Training in progress, step 19000
ad69d89 -
Training in progress, step 18500
27ba085 -
Training in progress, step 18000
5c3fb3e -
Training in progress, step 17500
22a3c35 -
Training in progress, step 17000
759938e -
Training in progress, step 16500
f5e72cc -
Training in progress, step 16000
c32267f -
Training in progress, step 15500
8683997 -
Training in progress, step 15000
1b56326 -
Training in progress, step 14500
80cb077 -
Training in progress, step 14000
7eb34c9 -
Training in progress, step 13500
cf60076 -
Training in progress, step 13000
5653b7c -
Training in progress, step 12500
4b561ff -
Training in progress, step 12000
9809a74 -
Training in progress, step 11500
14a4d40 -
Training in progress, step 11000
a8e60c4 -
Training in progress, step 10500
5a3b101 -
Training in progress, step 10000
087508f -
Training in progress, step 9500
974f557