Instructions to use mathildeparlo/spec_seq_lab_indonesian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathildeparlo/spec_seq_lab_indonesian 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="mathildeparlo/spec_seq_lab_indonesian")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mathildeparlo/spec_seq_lab_indonesian") model = AutoModelForQuestionAnswering.from_pretrained("mathildeparlo/spec_seq_lab_indonesian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mathildeparlo/spec_seq_lab_indonesian: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/mathildeparlo/spec_seq_lab_indonesian/resolve/main/training_args.bin
- Command line
-
hf download hf://mathildeparlo/spec_seq_lab_indonesian/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mathildeparlo/spec_seq_lab_indonesian/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 43eab870c45949eee92378f693ea139e361159c84975857f6ae7b66604271337
- Size of remote file:
- 4.54 kB
- SHA256:
- 9c897da95bdabc44e580d33cfbdecff064e2ab017d417ba57884e0c8ae7bf2ca
路
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