Instructions to use hf-internal-testing/tiny-bert-pt-safetensors-msgpack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-bert-pt-safetensors-msgpack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-bert-pt-safetensors-msgpack")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert-pt-safetensors-msgpack") model = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-pt-safetensors-msgpack") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert-pt-safetensors-msgpack")
model = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-pt-safetensors-msgpack")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-bert-pt-safetensors-msgpack")