Fill-Mask
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use gokulsrinivasagan/tinybert_train_book_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokulsrinivasagan/tinybert_train_book_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gokulsrinivasagan/tinybert_train_book_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gokulsrinivasagan/tinybert_train_book_v2") model = AutoModelForMaskedLM.from_pretrained("gokulsrinivasagan/tinybert_train_book_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gokulsrinivasagan/tinybert_train_book_v2: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/gokulsrinivasagan/tinybert_train_book_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://gokulsrinivasagan/tinybert_train_book_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gokulsrinivasagan/tinybert_train_book_v2/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 50ab4276bd8bbff8ba786ef3c76d75483b04c3212856cf57c37a97849f3479ed
- Size of remote file:
- 5.24 kB
- SHA256:
- d120ecd102d7fd30a9a5a519c20d823cc539af40aabed042e648a30678120e9e
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