Instructions to use hf-tiny-model-private/tiny-random-ConvBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ConvBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-ConvBertForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ConvBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-ConvBertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-ConvBertForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 5.36 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-ConvBertForTokenClassification/resolve/ca3018acfe1828f6111af74e5e08ffee5448f17c/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-ConvBertForTokenClassification@ca3018acfe1828f6111af74e5e08ffee5448f17c/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-ConvBertForTokenClassification/resolve/ca3018acfe1828f6111af74e5e08ffee5448f17c/pytorch_model.bin
5.36 MB
- Xet hash:
- ad820604d51590256b0fe6f3e0443e14eafa62aec35c8a7f74759a808cb18347
- Size of remote file:
- 5.36 MB
- SHA256:
- adfae070d92f5877c7a772bf463644fd6b427e5cab79fd51cf94cafa2b3c7c66
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.