Instructions to use mrm8488/mobilebert-finetuned-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/mobilebert-finetuned-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/mobilebert-finetuned-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/mobilebert-finetuned-pos") model = AutoModelForTokenClassification.from_pretrained("mrm8488/mobilebert-finetuned-pos", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mrm8488/mobilebert-finetuned-pos: direct link, hf CLI and curl.
- Browser
- Download file 1.2 kB
-
https://huggingface.co/mrm8488/mobilebert-finetuned-pos/resolve/main/training_args.bin
- Command line
-
hf download hf://mrm8488/mobilebert-finetuned-pos/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mrm8488/mobilebert-finetuned-pos/resolve/main/training_args.bin
1.2 kB
- Xet hash:
- 7b738780c821dd5d69871402dbabaa46f237967cbf32b1a7ddf44ccb6d1a2f93
- Size of remote file:
- 1.2 kB
- SHA256:
- 5bc01b7a9373e92be2f363859b2dcc2a0f4b6d264603bb14ba1ed60ec4a7962d
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