Instructions to use lincoln/2021twitchfr-conv-bert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lincoln/2021twitchfr-conv-bert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lincoln/2021twitchfr-conv-bert-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lincoln/2021twitchfr-conv-bert-small") model = AutoModel.from_pretrained("lincoln/2021twitchfr-conv-bert-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lincoln/2021twitchfr-conv-bert-small: direct link, hf CLI and curl.
- Browser
- Download file 45.4 MB
-
https://huggingface.co/lincoln/2021twitchfr-conv-bert-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lincoln/2021twitchfr-conv-bert-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lincoln/2021twitchfr-conv-bert-small/resolve/main/pytorch_model.bin
45.4 MB
- Xet hash:
- 00edc06cbc8054a2ca47e5e63742124580b76dc0f94c825cd5738f6335837734
- Size of remote file:
- 45.4 MB
- SHA256:
- a5b0ec4be904ae199d98313eea227335319e94cb886c221111e1233fd8d67887
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