A few small fixes in the README.md
- [Forum](https://discourse.allennlp.org)
- Documentation ( [latest](https://docs.allennlp.org/latest/) | [stable](https://docs.allennlp.org/stable/) | [master](https://docs.allennlp.org/master/) )
- [Contributing Guidelines](CONTRIBUTING.md)
-- [Pretrained Models](https://github.com/allenai/allennlp-hub/blob/master/allennlp_hub/pretrained/allennlp_pretrained.py)
+- [Pretrained Models](https://github.com/allenai/allennlp-models/blob/master/allennlp_models/pretrained.py)
- [Continuous Build](https://github.com/allenai/allennlp/actions)
- [Nightly Releases](https://pypi.org/project/allennlp/#history)
- [Officially Supported Models](https://github.com/allenai/allennlp-models)
@@ -73,7 +73,7 @@ AllenNLP requires Python 3.6.1 or later. The preferred way to install AllenNLP i
If you need pointers on setting up an appropriate Python environment or would like to install AllenNLP using a different method, see below.
-Windows is currently not officially supported, although we try to fix issues when they are easily addressed.
+We support AllenNLP on Mac and Linux environments. We presently do not support Windows but are open to contributions.
### Installing via pip
@@ -149,30 +149,10 @@ You can test your installation with `allennlp test-install`.
## Running AllenNLP
-Once you've installed AllenNLP, you can run the command-line interface either
-with the `allennlp` command (if you installed via `pip`) or `allennlp` (if you installed via source).
-
-```
-$ allennlp
-Run AllenNLP
-
-optional arguments:
- -h, --help show this help message and exit
- --version show program's version number and exit
-
-Commands:
-
- elmo Create word vectors using a pretrained ELMo model.
- evaluate Evaluate the specified model + dataset.
- find-lr Find a learning rate range.
- predict Use a trained model to make predictions.
- print-results
- Print results from allennlp serialization directories to the
- console.
- test-install
- Run the unit tests.
- train Train a model.
-```
+Once you've installed AllenNLP, you can run the command-line interface
+with the `allennlp` command (whether you installed from `pip` or from source).
+`allennlp` has various subcommands such as `train`, `evaluate`, and `predict`.
+To see the full usage information, run `allennlp --help`.
## Docker images
